{"meta":{"query_hash":"e7f0331b54a9","filters":{"venue":"Field Methods"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e7f0331b54a9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Field+Methods"},"results":[{"id":"W1969543834","doi":"10.1177/1525822x11408513","title":"How to Generate Personal Networks: Issues and Tools for a Sociological Perspective","year":2011,"lang":"en","type":"article","venue":"Field Methods","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Variety (cybernetics); Perspective (graphical); Construct (python library); Sociology; Relevance (law); Computer science; Data science; Sociological imagination; Generator (circuit theory); Resource (disambiguation); Epistemology; Management science; Artificial intelligence; Social science","score_opus":0.29137740545954816,"score_gpt":0.47171352477630685,"score_spread":0.1803361193167587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969543834","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057653245,0.0029052447,0.9251801,0.03199906,0.0005142825,0.00042527154,0.00029868618,0.0013357493,0.031576265],"genre_scores_gemma":[0.16212726,0.0028471283,0.82337826,0.0012943287,0.0006625756,0.002659545,0.0003582381,0.00091811246,0.0057544955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9343635,0.056552157,0.0023069226,0.0024728691,0.0036595918,0.0006450169],"domain_scores_gemma":[0.6464367,0.28982288,0.0066699167,0.0431726,0.009677777,0.0042201327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.088428065,0.0016849507,0.0016616035,0.011245113,0.0052186307,0.026555913,0.0070779235,0.0066004405,0.013581785],"category_scores_gemma":[0.2301113,0.0016084318,0.0016637754,0.008577238,0.035706986,0.057617478,0.010410456,0.0061828527,0.0029921292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013231468,0.000036690064,0.00046450103,0.00019795513,0.000018828248,0.000046193727,0.008084456,0.0009981766,0.00007944501,0.94716346,0.0037079158,0.03918919],"study_design_scores_gemma":[0.000020461935,0.000015462752,0.00024049528,0.00041991496,0.000009657075,0.00013375052,0.0048188455,0.006594167,0.00028254805,0.94575536,0.041663535,0.000045917415],"about_ca_topic_score_codex":0.0029468143,"about_ca_topic_score_gemma":0.0016043795,"teacher_disagreement_score":0.088428065,"about_ca_system_score_codex":0.004429957,"about_ca_system_score_gemma":0.0045943195,"threshold_uncertainty_score":0.46765792},"labels":[],"label_agreement":null},{"id":"W1974272815","doi":"10.1177/15222x014003001","title":"The Use of Remotely Sensed Data in Rapid Rural Assessment","year":2002,"lang":"en","type":"article","venue":"Field Methods","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Thematic Mapper; Scope (computer science); Land cover; Computer science; Data collection; Land use; Thematic map; Class (philosophy); Remote sensing; Cover (algebra); Geography; Environmental resource management; Cartography; Satellite imagery; Environmental science; Artificial intelligence; Statistics","score_opus":0.15733399739950685,"score_gpt":0.37449907185863796,"score_spread":0.2171650744591311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974272815","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20702496,0.008245862,0.7233463,0.004122257,0.00039237083,0.0013109354,0.002124716,0.0008479511,0.052584674],"genre_scores_gemma":[0.5398251,0.0030417994,0.4537984,0.00043585646,0.00022794878,0.0004394561,0.00054544,0.00011135335,0.0015746626],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9892564,0.0087186815,0.00027928874,0.0003937463,0.0012067871,0.00014520879],"domain_scores_gemma":[0.98027,0.015662383,0.0012169037,0.0011830046,0.0014919722,0.00017565125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01344156,0.0005693818,0.00040966764,0.0046564713,0.0005507956,0.0018211954,0.0006719697,0.0006696338,0.0012549524],"category_scores_gemma":[0.02241311,0.00034138438,0.00037172565,0.0034637148,0.0011929725,0.0024173832,0.0016302413,0.00066499144,0.00050650386],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002524939,0.00016754528,0.059267018,0.00079642015,0.00019118495,0.00034254746,0.0015238705,0.02334957,0.009160627,0.027683645,0.0045819804,0.8726831],"study_design_scores_gemma":[0.0002543351,0.0013920546,0.25722224,0.002056833,0.0004249306,0.0032214269,0.012775758,0.23234893,0.025156097,0.19215944,0.27225053,0.0007374542],"about_ca_topic_score_codex":0.0025451728,"about_ca_topic_score_gemma":0.0031112111,"teacher_disagreement_score":0.01344156,"about_ca_system_score_codex":0.000601058,"about_ca_system_score_gemma":0.00059810077,"threshold_uncertainty_score":0.071086645},"labels":[],"label_agreement":null},{"id":"W1981961273","doi":"10.1177/1525822x02239572","title":"Accessing Children’s Experiences of Loneliness through Conversations","year":2003,"lang":"en","type":"article","venue":"Field Methods","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Loneliness; Solitude; Psychology; Boredom; Social psychology; Developmental psychology; Meaning (existential); Lived experience; Interview; Psychotherapist; Sociology","score_opus":0.06484056802334225,"score_gpt":0.46256649449782633,"score_spread":0.39772592647448407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981961273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770264,0.0013383905,0.005943642,0.00043968443,0.000033247128,0.00017856485,0.00018999793,0.00006534569,0.014784741],"genre_scores_gemma":[0.9923995,0.0011049703,0.0045084525,0.00009147173,0.000016316108,0.00036985052,0.00008341488,0.00001730708,0.0014088061],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9972127,0.0019196677,0.00012603062,0.0002149487,0.00020978169,0.00031684304],"domain_scores_gemma":[0.99464333,0.004141676,0.0005220217,0.00019373841,0.00021524508,0.0002839358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035779711,0.0005771685,0.00047745684,0.0014173918,0.0035547314,0.0036346014,0.0007545286,0.0011714296,0.0026584081],"category_scores_gemma":[0.008141511,0.00049893116,0.0002961341,0.0009142896,0.002849743,0.004041109,0.004934163,0.0013323689,0.00032215845],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008721103,0.000048357782,0.010130491,0.00027548906,0.00001171394,0.0006363677,0.9629228,0.000049572966,0.002873709,0.0014892839,0.00034819,0.021126866],"study_design_scores_gemma":[0.000024945211,0.00024392574,0.036893595,0.00043807086,0.000043856726,0.0017497953,0.9254335,0.0002170578,0.003921735,0.001986118,0.028953925,0.00009344919],"about_ca_topic_score_codex":0.001967665,"about_ca_topic_score_gemma":0.004442739,"teacher_disagreement_score":0.0036346014,"about_ca_system_score_codex":0.0010709021,"about_ca_system_score_gemma":0.0007878487,"threshold_uncertainty_score":0.018922389},"labels":[],"label_agreement":null},{"id":"W2017594163","doi":"10.1177/152582202237730","title":"Effects of Item Grouping and Position of the “Don't Know” Option on Questionnaire Response","year":2002,"lang":"en","type":"article","venue":"Field Methods","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Consistency (knowledge bases); Internal consistency; Rating scale; Reliability (semiconductor); Scale (ratio); Social psychology; Theme (computing); Thematic analysis; Applied psychology; Psychometrics; Clinical psychology; Developmental psychology; Qualitative research; Computer science; Artificial intelligence","score_opus":0.11070542339338936,"score_gpt":0.46034062722401903,"score_spread":0.3496352038306297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017594163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749517,0.00032921627,0.017718304,0.0005718619,0.00026599006,0.0019728155,0.0001690847,0.00035564092,0.0036654263],"genre_scores_gemma":[0.9708213,0.00013466261,0.023579085,0.00045537564,0.000114944676,0.003456697,0.00026889643,0.00027151374,0.00089749205],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.64265233,0.30072832,0.022614619,0.012170953,0.018674105,0.003159707],"domain_scores_gemma":[0.17649287,0.7654591,0.02350736,0.024342516,0.008450458,0.0017477089],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.15735024,0.0013763313,0.0016232072,0.0014826554,0.001203784,0.0016917846,0.0014075777,0.0015105732,0.004143122],"category_scores_gemma":[0.42990723,0.0012575752,0.0012858632,0.0017673377,0.002757191,0.0021062954,0.0029629795,0.0020347317,0.0011475141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.056159973,0.011430238,0.43388963,0.0035648074,0.0021667317,0.0008734024,0.049869757,0.005777076,0.094044656,0.0026296035,0.003600163,0.33599395],"study_design_scores_gemma":[0.0026976576,0.035994466,0.8810648,0.0009274741,0.0014263871,0.00084318797,0.009938983,0.01256443,0.041028444,0.0038528047,0.009139222,0.0005222323],"about_ca_topic_score_codex":0.0005289985,"about_ca_topic_score_gemma":0.0007409115,"teacher_disagreement_score":0.84264976,"about_ca_system_score_codex":0.0011273469,"about_ca_system_score_gemma":0.0011929998,"threshold_uncertainty_score":0.83215755},"labels":[],"label_agreement":null},{"id":"W2028222754","doi":"10.1177/1525822x05285843","title":"Communication Problems Between Researchers and Informants With Speech Difficulties: Methodological and Analytic Issues","year":2006,"lang":"en","type":"article","venue":"Field Methods","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Interview; Psychology; Focus (optics); Qualitative research; Social psychology; Focus group; Data collection; Applied psychology; Sociology; Social science","score_opus":0.2961043036585409,"score_gpt":0.4659955606303626,"score_spread":0.16989125697182172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028222754","genre_codex":"empirical","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42402652,0.03127566,0.35866106,0.12727642,0.003998228,0.023379913,0.0006338072,0.00028213742,0.03046628],"genre_scores_gemma":[0.7368407,0.0062921573,0.18522656,0.014671187,0.0011678424,0.052467473,0.00019407056,0.00018376386,0.0029563156],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.20273204,0.7193797,0.036359824,0.0072942777,0.029909452,0.004324669],"domain_scores_gemma":[0.20746322,0.7277117,0.021852,0.017283611,0.02372981,0.0019596554],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.55445546,0.0019492519,0.003611944,0.015758766,0.018249443,0.021221654,0.010277267,0.008059563,0.0021019892],"category_scores_gemma":[0.6310037,0.003285079,0.0019519951,0.01642072,0.03624152,0.02276683,0.021236973,0.006583632,0.00064171787],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016864753,0.00018899124,0.01519108,0.0034867318,0.00017947302,0.0009449643,0.86863345,0.00026464686,0.0005824278,0.05220207,0.0024929568,0.05566455],"study_design_scores_gemma":[0.00014928108,0.0004167813,0.006801264,0.007477015,0.00017604748,0.0014684194,0.90763515,0.0017767488,0.0018105671,0.05408029,0.018052025,0.00015633099],"about_ca_topic_score_codex":0.0058592,"about_ca_topic_score_gemma":0.006606377,"teacher_disagreement_score":0.44554454,"about_ca_system_score_codex":0.015118534,"about_ca_system_score_gemma":0.01582318,"threshold_uncertainty_score":0.5494358},"labels":[],"label_agreement":null},{"id":"W2107195102","doi":"10.1177/1525822x0101300301","title":"Field Science Ethnography: Methods for Systematic Observation on an Arctic Expedition","year":2001,"lang":"en","type":"article","venue":"Field Methods","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Terrain; Multidisciplinary approach; Field (mathematics); Context (archaeology); Ethnography; The arctic; Citizen journalism; Crew; Computer science; Data science; Sociology; History; Geography; Archaeology; Geology; Cartography; World Wide Web; Social science; Oceanography; Astrobiology","score_opus":0.341253494737689,"score_gpt":0.6098103755255644,"score_spread":0.2685568807878754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107195102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17652848,0.005699671,0.6619157,0.0036887664,0.00041394748,0.054457847,0.0047690114,0.0008556513,0.09167093],"genre_scores_gemma":[0.21389148,0.0030597495,0.71366984,0.0005067696,0.00008885805,0.061128844,0.0012341359,0.0001684932,0.006251849],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96023595,0.03490518,0.0015104238,0.0011542268,0.0015853603,0.00060875184],"domain_scores_gemma":[0.9513467,0.036635973,0.0023611318,0.00590124,0.0030273013,0.00072756736],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.036584146,0.001180097,0.00089337886,0.009230884,0.005523374,0.0036007054,0.0019006613,0.001063856,0.004592067],"category_scores_gemma":[0.032726247,0.0008086559,0.0005857029,0.006939125,0.0068109566,0.003914253,0.0058254637,0.0015525054,0.00062384596],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014223479,0.00038059283,0.011278687,0.0025522457,0.00006580292,0.00070303597,0.5968488,0.00094730133,0.0037625728,0.035140336,0.011524645,0.33665386],"study_design_scores_gemma":[0.0002760252,0.0005117241,0.034922015,0.006034013,0.000086637694,0.0009983457,0.6402683,0.0024567794,0.0029868267,0.046697415,0.2645712,0.00019075033],"about_ca_topic_score_codex":0.006450727,"about_ca_topic_score_gemma":0.01618637,"teacher_disagreement_score":0.96341586,"about_ca_system_score_codex":0.0033358114,"about_ca_system_score_gemma":0.007836649,"threshold_uncertainty_score":0.19347781},"labels":[],"label_agreement":null},{"id":"W2107582726","doi":"10.1177/1525822x03257689","title":"Complexity, Generality, and Qualitative Comparative Analysis","year":2003,"lang":"en","type":"article","venue":"Field Methods","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Qualitative comparative analysis; Generality; Complement (music); Variable (mathematics); Collective action; Computer science; Perspective (graphical); Action (physics); Epistemology; Sociology; Competition (biology); Data science; Management science; Mathematics; Artificial intelligence; Political science; Law; Ecology; Economics; Machine learning; Management","score_opus":0.6336475349643264,"score_gpt":0.6963065615066534,"score_spread":0.06265902654232702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107582726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10111253,0.009698321,0.6259445,0.023889454,0.00041868284,0.0053525823,0.0007126751,0.00021499537,0.23265633],"genre_scores_gemma":[0.79643846,0.0015272319,0.19042806,0.001405525,0.00009889437,0.0071593267,0.00018840739,0.00005322999,0.0027008532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7845682,0.19189991,0.004768131,0.005281037,0.011874709,0.0016079841],"domain_scores_gemma":[0.7190768,0.23486722,0.010566643,0.022757249,0.011242755,0.0014892939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11482441,0.00059576833,0.0013326481,0.011494618,0.0058099995,0.009056064,0.0024325207,0.001546027,0.005728481],"category_scores_gemma":[0.19589251,0.0008691268,0.000677181,0.009247698,0.03381967,0.011209149,0.01061434,0.0015546024,0.00027530195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003669963,0.000023367782,0.0020004087,0.00094263186,0.00005678742,0.00013370413,0.03530226,0.001093942,0.00023101764,0.93022335,0.0010814246,0.028874341],"study_design_scores_gemma":[0.000045406043,0.00006827887,0.0026291122,0.001373129,0.00004267273,0.00020969028,0.029076211,0.0025154748,0.00035196697,0.9205575,0.04308369,0.00004691096],"about_ca_topic_score_codex":0.0035303277,"about_ca_topic_score_gemma":0.0031478626,"teacher_disagreement_score":0.11482441,"about_ca_system_score_codex":0.010748611,"about_ca_system_score_gemma":0.0076638907,"threshold_uncertainty_score":0.60725677},"labels":[],"label_agreement":null},{"id":"W2109061858","doi":"10.1177/1525822x0001200103","title":"Problematic Success: An Account of Top-Down Participatory Action Research with Women with Multiple Sclerosis","year":2000,"lang":"en","type":"article","venue":"Field Methods","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Grassroots; Participatory action research; Action (physics); Citizen journalism; Action research; Population; Public relations; Sociology; Psychology; Social psychology; Political science; Pedagogy; Law","score_opus":0.8447867844894362,"score_gpt":0.6856862691085482,"score_spread":0.15910051538088799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109061858","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10862786,0.017233953,0.2482786,0.16227007,0.0025867505,0.004162978,0.00008051543,0.00056583865,0.45619348],"genre_scores_gemma":[0.90744996,0.0060218456,0.050115287,0.010365063,0.00061661756,0.005163983,0.000049231858,0.00050635886,0.019711595],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.67334425,0.28990072,0.0031260927,0.0066409293,0.016763387,0.010224708],"domain_scores_gemma":[0.86614615,0.11241458,0.004474127,0.008260241,0.0053276382,0.0033772627],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.14703871,0.002356301,0.0017712708,0.0061040213,0.049404707,0.03900559,0.008801761,0.012088234,0.0031577563],"category_scores_gemma":[0.094718866,0.0016970597,0.002147739,0.0056635863,0.13670264,0.02977304,0.046720903,0.013666834,0.0011213965],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051145867,0.00008651068,0.0010707852,0.00050066895,0.00003261575,0.0013272968,0.5541951,0.00047619164,0.00023066258,0.41541922,0.0027431871,0.023866665],"study_design_scores_gemma":[0.000088012974,0.00032063972,0.0014319909,0.0017373578,0.00006961013,0.002124738,0.41310033,0.0027412563,0.0008733098,0.352223,0.22517689,0.00011283504],"about_ca_topic_score_codex":0.009136272,"about_ca_topic_score_gemma":0.010086729,"teacher_disagreement_score":0.8529613,"about_ca_system_score_codex":0.020558026,"about_ca_system_score_gemma":0.020525968,"threshold_uncertainty_score":0.77762437},"labels":[],"label_agreement":null},{"id":"W2122981814","doi":"10.1177/1525822x13516842","title":"Show Some Emotion?","year":2014,"lang":"en","type":"article","venue":"Field Methods","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Victoria University","keywords":"Catharsis; Psychology; Emotional regulation; Social psychology; Emotion work; Work (physics); Applied psychology; Developmental psychology; Psychoanalysis","score_opus":0.2734119102241467,"score_gpt":0.6353011915525962,"score_spread":0.36188928132844955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122981814","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3017176,0.022763345,0.017009092,0.4012691,0.0138929915,0.00020776447,0.00044354677,0.00037621177,0.24232033],"genre_scores_gemma":[0.8739656,0.004895517,0.0031133564,0.07215822,0.0011922241,0.00014932214,0.00010462771,0.00013576294,0.044285394],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9947084,0.003480821,0.00013328629,0.00042539492,0.0008205749,0.00043151574],"domain_scores_gemma":[0.9960337,0.0014167451,0.0007329586,0.00035557963,0.0008988053,0.0005621828],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0044363528,0.00035394757,0.00048123626,0.00044970753,0.0036377076,0.0057166493,0.0005115367,0.0025680098,0.00885825],"category_scores_gemma":[0.016237408,0.00022010169,0.0006065744,0.00043082723,0.009525427,0.004049931,0.0027993093,0.004434104,0.0031105634],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031978998,0.00016117634,0.027993962,0.0008383377,0.00024203834,0.0045061954,0.55071765,0.00012501689,0.008083552,0.16036198,0.118152425,0.12849794],"study_design_scores_gemma":[0.000041897667,0.00021882338,0.012069703,0.00092886743,0.000080587764,0.007424638,0.42173445,0.00022138802,0.0021381194,0.047178797,0.50784844,0.00011414944],"about_ca_topic_score_codex":0.0018155723,"about_ca_topic_score_gemma":0.0013569943,"teacher_disagreement_score":0.9955636,"about_ca_system_score_codex":0.0014609721,"about_ca_system_score_gemma":0.0010110962,"threshold_uncertainty_score":0.02963382},"labels":[],"label_agreement":null},{"id":"W2135038531","doi":"10.1177/1525822x13500448","title":"Connecting Participant Observation Positions","year":2013,"lang":"en","type":"article","venue":"Field Methods","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Participant observation; Covert; Reflexivity; Insider; Ethnography; Observer (physics); Psychology; Social psychology; Epistemology; Sociology; Social science; Linguistics; Anthropology","score_opus":0.639471192065215,"score_gpt":0.6604228824813964,"score_spread":0.02095169041618139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135038531","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16692041,0.005951905,0.48983422,0.07414678,0.0054292236,0.003050687,0.00063723273,0.0005676818,0.2534618],"genre_scores_gemma":[0.9011062,0.0020781204,0.058269095,0.005240889,0.0006912856,0.0039559137,0.00024135002,0.00038800854,0.028029319],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85161674,0.11936628,0.0028326819,0.012471,0.01030072,0.0034125936],"domain_scores_gemma":[0.81332225,0.15154625,0.0052001406,0.015186619,0.011326518,0.0034182481],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.10294934,0.0009761016,0.0009924221,0.0036470958,0.0131750805,0.014470691,0.0041653207,0.0066423183,0.015033744],"category_scores_gemma":[0.14478359,0.0011889407,0.0009882211,0.0029003792,0.031170115,0.017165555,0.024570214,0.009011448,0.002286554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012420605,0.00006172104,0.0012464534,0.0003700929,0.00001743695,0.00066100544,0.79441565,0.0001877424,0.0011897264,0.17480677,0.0039456007,0.022973605],"study_design_scores_gemma":[0.00009400442,0.00017853227,0.0009480516,0.0018986663,0.000033630182,0.0009067226,0.47264254,0.0013883722,0.0025159982,0.1457909,0.37353113,0.00007144792],"about_ca_topic_score_codex":0.0022247413,"about_ca_topic_score_gemma":0.0025191752,"teacher_disagreement_score":0.8970507,"about_ca_system_score_codex":0.0072361473,"about_ca_system_score_gemma":0.007363152,"threshold_uncertainty_score":0.5444547},"labels":[],"label_agreement":null},{"id":"W2137346916","doi":"10.1177/1525822x12453113","title":"Examining the Gender Effects of Different Incentive Amounts in a Web Survey","year":2012,"lang":"en","type":"article","venue":"Field Methods","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"Faculty of Arts and Sciences; MacEwan University; Johns Hopkins University","keywords":"Incentive; Web survey; Incentive program; Survey data collection; Psychology; Non-response bias; Business; Social psychology; Marketing; Economics; Statistics; Econometrics; Microeconomics","score_opus":0.4293546155650801,"score_gpt":0.5288488589157309,"score_spread":0.09949424335065077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137346916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886608,0.00017818953,0.0052730227,0.0004422323,0.00020115121,0.0008562406,0.00013025291,0.0000460819,0.004212],"genre_scores_gemma":[0.98383594,0.00011868705,0.012616809,0.00037510754,0.00009051858,0.0014987997,0.00008454351,0.000037049474,0.0013425574],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.92063016,0.06762514,0.0033626514,0.0025308551,0.0046547707,0.001196459],"domain_scores_gemma":[0.6487726,0.31751135,0.018738227,0.007163968,0.0054633347,0.0023504277],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.044729825,0.00063087564,0.0006699191,0.00063871185,0.00072623143,0.001145365,0.0007307408,0.0010223336,0.0054147984],"category_scores_gemma":[0.16228761,0.0005574984,0.0006255905,0.00054351706,0.0014640549,0.0017118369,0.0011374506,0.0012029279,0.0004960896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.17948456,0.042182956,0.3030404,0.0026905348,0.0013622685,0.0004204735,0.012867897,0.0046188654,0.10711053,0.011453172,0.002460866,0.33230758],"study_design_scores_gemma":[0.008981013,0.18180278,0.6893598,0.00079161033,0.0019031317,0.00049377244,0.0054464256,0.01445565,0.07377841,0.00778624,0.014789651,0.00041147493],"about_ca_topic_score_codex":0.00046876643,"about_ca_topic_score_gemma":0.00073975447,"teacher_disagreement_score":0.9552702,"about_ca_system_score_codex":0.0007520041,"about_ca_system_score_gemma":0.00078503054,"threshold_uncertainty_score":0.23655677},"labels":[],"label_agreement":null},{"id":"W2150190471","doi":"10.1177/1525822x06298589","title":"Visualizing Personal Networks: Working with Participant-aided Sociograms","year":2007,"lang":"en","type":"article","venue":"Field Methods","topic":"Social Media and Politics","field":"Social Sciences","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Respondent; Computer science; Interview; Heuristics; Field (mathematics); Data collection; Generator (circuit theory); Data science; Statistics; Mathematics","score_opus":0.2294009334335401,"score_gpt":0.49955956241620275,"score_spread":0.27015862898266263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150190471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07335721,0.00016276965,0.9109278,0.0009781577,0.00009004438,0.0011137968,0.0017020064,0.0047133765,0.0069548995],"genre_scores_gemma":[0.20840608,0.0001350913,0.7874008,0.00006914465,0.00002797055,0.0014049752,0.00085393677,0.0004515204,0.0012505371],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.983265,0.013639738,0.00069637696,0.0011489957,0.0010516025,0.00019829335],"domain_scores_gemma":[0.9287762,0.057085536,0.0026157002,0.007173559,0.0035743057,0.00077468046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022496095,0.0011526512,0.0006786237,0.0065678013,0.0016380831,0.0050276383,0.0016403869,0.0011529712,0.0074414522],"category_scores_gemma":[0.07039402,0.000635779,0.0005182091,0.0032211228,0.0015427587,0.011281514,0.0040750215,0.0011426366,0.0014195505],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079404324,0.0003798788,0.027706785,0.0018891187,0.00012574652,0.00082405773,0.2878487,0.011497874,0.020979255,0.1102389,0.012329879,0.52538574],"study_design_scores_gemma":[0.0004464044,0.0007453311,0.016025437,0.0014407731,0.00021548416,0.0015644555,0.12545238,0.16007063,0.04301844,0.31850648,0.3320093,0.00050483155],"about_ca_topic_score_codex":0.0011422166,"about_ca_topic_score_gemma":0.0017034942,"teacher_disagreement_score":0.022496095,"about_ca_system_score_codex":0.0010985656,"about_ca_system_score_gemma":0.0018289656,"threshold_uncertainty_score":0.11897212},"labels":[],"label_agreement":null},{"id":"W2154943371","doi":"10.1177/1525822x04271006","title":"Methodological Issues in the Effects of Attrition: Simple Solutions for Social Scientists","year":2004,"lang":"en","type":"article","venue":"Field Methods","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Attrition; Data collection; Psychology; Quarter (Canadian coin); Longitudinal data; Simple (philosophy); Sample (material); Computer science; Social science; Sociology; Epistemology; Medicine; Geography; Data mining","score_opus":0.4577670085167675,"score_gpt":0.5760908758708554,"score_spread":0.1183238673540879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154943371","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007168371,0.012368778,0.8198335,0.14555147,0.0048692715,0.003397232,0.00027161516,0.0005051842,0.006034566],"genre_scores_gemma":[0.15730473,0.0059180297,0.7729447,0.040060766,0.0065097734,0.014288808,0.00012833219,0.00033667506,0.0025081048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.28884587,0.6133267,0.036554918,0.015439951,0.043633413,0.0021990973],"domain_scores_gemma":[0.14310798,0.73979163,0.03835773,0.052107528,0.02465465,0.0019804777],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5969493,0.0029861717,0.005076002,0.0074918442,0.006691552,0.0075191776,0.0060288943,0.014058775,0.0042347414],"category_scores_gemma":[0.8169136,0.0028151711,0.0050457013,0.0071143825,0.034359276,0.017363766,0.012426518,0.021015631,0.0009715474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091578456,0.00028035478,0.012976677,0.006479135,0.0027275716,0.00081230985,0.020604812,0.0038231947,0.0007546668,0.6091521,0.032699987,0.3087734],"study_design_scores_gemma":[0.0006804016,0.0005214482,0.004111426,0.006353476,0.0009786072,0.00065338484,0.00201491,0.009931151,0.0012602577,0.937541,0.0356533,0.0003005368],"about_ca_topic_score_codex":0.0026055016,"about_ca_topic_score_gemma":0.0030591544,"teacher_disagreement_score":0.40305072,"about_ca_system_score_codex":0.007215494,"about_ca_system_score_gemma":0.010624541,"threshold_uncertainty_score":0.49703336},"labels":[],"label_agreement":null},{"id":"W2154998993","doi":"10.1177/1525822x06298588","title":"Simplifying the Personal Network Name Generator","year":2007,"lang":"en","type":"article","venue":"Field Methods","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":371,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generator (circuit theory); Respondent; Computer science; Sample (material); Interpreter; Personal network; Statistics; Mathematics; Computer network; Power (physics)","score_opus":0.0656667313736355,"score_gpt":0.4438661846357884,"score_spread":0.37819945326215293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154998993","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07594445,0.00023066191,0.90802604,0.0020857647,0.0005671047,0.0020638022,0.0015612717,0.0024115413,0.0071093845],"genre_scores_gemma":[0.39603958,0.00021969576,0.58896315,0.00087247,0.00051052985,0.0062550562,0.0017580279,0.00066090096,0.0047206115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.911804,0.07018803,0.004014075,0.0058550467,0.0072122333,0.00092645246],"domain_scores_gemma":[0.69005567,0.21299689,0.014354892,0.061614823,0.019742802,0.0012350029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08494255,0.0011053577,0.0012182038,0.0030626974,0.001146439,0.0027891502,0.0027485788,0.0017763197,0.007699457],"category_scores_gemma":[0.3081798,0.0008991105,0.0013674201,0.0042890124,0.002056568,0.006526622,0.0055455635,0.0019928396,0.0034328732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018138059,0.0006275763,0.08268387,0.0009160199,0.00043689134,0.0003051573,0.008947974,0.025452858,0.0059571606,0.1932029,0.035153635,0.64450216],"study_design_scores_gemma":[0.0012184968,0.0022414492,0.09140452,0.0007178963,0.00053157913,0.0013284656,0.0044427575,0.36729002,0.02194366,0.35334814,0.15483488,0.0006981448],"about_ca_topic_score_codex":0.0023688665,"about_ca_topic_score_gemma":0.0020032788,"teacher_disagreement_score":0.08494255,"about_ca_system_score_codex":0.00181476,"about_ca_system_score_gemma":0.0025194497,"threshold_uncertainty_score":0.44922453},"labels":[],"label_agreement":null},{"id":"W2156609398","doi":"10.1177/1525822x06299133","title":"Challenges in Collecting Personal Network Data: The Nature of Personal Network Analysis","year":2007,"lang":"en","type":"article","venue":"Field Methods","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Personal network; Network analysis; Computer science; Psychology; Data science; World Wide Web; Internet privacy; Computer network; Engineering","score_opus":0.1432546113956527,"score_gpt":0.4628311645824377,"score_spread":0.319576553186785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156609398","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032067865,0.00541309,0.92753744,0.0249954,0.00072533963,0.0004189337,0.0015400067,0.00032204558,0.0069798417],"genre_scores_gemma":[0.35303035,0.0065339445,0.6257958,0.0050029475,0.0028029291,0.0018106116,0.0013928955,0.00028224094,0.0033483398],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9364907,0.04546463,0.0019972855,0.00522683,0.010225389,0.0005951311],"domain_scores_gemma":[0.6304288,0.32102036,0.009393463,0.022343306,0.014985822,0.001828257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048842866,0.0008440615,0.0017635798,0.0048577217,0.0022557944,0.00690634,0.004359235,0.0037906745,0.0016986819],"category_scores_gemma":[0.20083657,0.0012210105,0.0008902301,0.0068588387,0.005012089,0.00921626,0.0041841567,0.004270961,0.0011361608],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016618276,0.00045557073,0.11074134,0.003118686,0.0010936748,0.00055154826,0.008054095,0.04786409,0.002717922,0.19567381,0.047497563,0.5820655],"study_design_scores_gemma":[0.00005208914,0.000100089914,0.033985645,0.0008998781,0.00018158005,0.0016946427,0.00985958,0.16325618,0.0018540533,0.7212749,0.06663885,0.00020257532],"about_ca_topic_score_codex":0.007210317,"about_ca_topic_score_gemma":0.008782741,"teacher_disagreement_score":0.048842866,"about_ca_system_score_codex":0.0017605938,"about_ca_system_score_gemma":0.002846501,"threshold_uncertainty_score":0.25830883},"labels":[],"label_agreement":null},{"id":"W2161356368","doi":"10.1177/1525822x08330260","title":"Participant Observation and Phased Assertion as Research Strategies in the Canadian Arctic","year":2009,"lang":"en","type":"article","venue":"Field Methods","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Assertion; Communicative competence; Psychology; Competence (human resources); Participant observation; Data collection; Apathy; Hostility; Social psychology; Sociology; Pedagogy; Computer science; Cognition; Social science","score_opus":0.5671666037676736,"score_gpt":0.6440138451969994,"score_spread":0.07684724142932586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161356368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8665861,0.004808823,0.069097,0.0051894938,0.00045182835,0.0043209116,0.0004163466,0.00009759339,0.04903184],"genre_scores_gemma":[0.94243664,0.002505493,0.044106286,0.0004931409,0.00006480756,0.0037459673,0.00009632393,0.000036030164,0.006515323],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9437275,0.0477745,0.0010686588,0.0022578589,0.0036802844,0.0014911969],"domain_scores_gemma":[0.9409364,0.044166982,0.003038447,0.0035448929,0.006776347,0.0015370473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.057845447,0.0008616183,0.0006021423,0.0026531,0.01253153,0.0059908754,0.0033393295,0.0015856224,0.0017324612],"category_scores_gemma":[0.04850308,0.00071165443,0.00043280414,0.003578947,0.01764582,0.0038064138,0.007861272,0.0020694013,0.00019503523],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012238455,0.00008456763,0.0025103022,0.00031726947,0.000008579462,0.00028592034,0.9601148,0.00016487372,0.0018286313,0.009295798,0.0004818537,0.024785047],"study_design_scores_gemma":[0.00007340566,0.00031549274,0.0079426635,0.0007666525,0.000032849523,0.00032504377,0.9423264,0.00066871394,0.002118689,0.00567538,0.039653596,0.000101050005],"about_ca_topic_score_codex":0.4245168,"about_ca_topic_score_gemma":0.62017065,"teacher_disagreement_score":0.5754832,"about_ca_system_score_codex":0.015762094,"about_ca_system_score_gemma":0.041779935,"threshold_uncertainty_score":0.84409165},"labels":[],"label_agreement":null},{"id":"W2162367953","doi":"10.1177/1525822x03015002004","title":"Active Interview Tactics in Research on Public Deviants: Exploring the Two-Cop Personas","year":2003,"lang":"en","type":"article","venue":"Field Methods","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; McMaster University","funders":"","keywords":"Deviance (statistics); Sociology; Persona; Narrative; Situated; Social psychology; Public relations; Psychology; Political science; Computer science","score_opus":0.7377053490420205,"score_gpt":0.6178000889559834,"score_spread":0.11990526008603708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162367953","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64380866,0.0038617295,0.25330567,0.011111186,0.00039133942,0.0032730454,0.00021128278,0.00020612033,0.08383099],"genre_scores_gemma":[0.92556727,0.0011611311,0.062355153,0.0009184575,0.000087881665,0.0040160255,0.0000771559,0.0000940322,0.005722907],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.90894055,0.085577324,0.0008819293,0.0014523753,0.001884289,0.0012635115],"domain_scores_gemma":[0.89729536,0.08559392,0.0064404923,0.006059354,0.0028093501,0.0018014724],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.046304848,0.0012175523,0.0007419278,0.005986124,0.013452731,0.0072798124,0.0031700493,0.0037404066,0.00416463],"category_scores_gemma":[0.05959102,0.001360356,0.00060913217,0.0036872204,0.029148117,0.010697239,0.013807846,0.0050325617,0.00084272545],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089945366,0.00007860565,0.0017030902,0.00028845805,0.00001461634,0.00046569528,0.937877,0.00007417164,0.0011537144,0.042509813,0.00061297184,0.015132061],"study_design_scores_gemma":[0.00005378889,0.00023551968,0.0032182653,0.00069975265,0.000025805632,0.0016353077,0.90424776,0.0011627834,0.003332695,0.036462124,0.048872944,0.000053321764],"about_ca_topic_score_codex":0.0017066363,"about_ca_topic_score_gemma":0.0033232097,"teacher_disagreement_score":0.9536952,"about_ca_system_score_codex":0.0039007564,"about_ca_system_score_gemma":0.0033564493,"threshold_uncertainty_score":0.2448864},"labels":[],"label_agreement":null},{"id":"W2163505532","doi":"10.1177/1525822x11418176","title":"Using Cognitive Interviewing and Behavioral Coding to Determine Measurement Equivalence across Linguistic and Cultural Groups","year":2011,"lang":"en","type":"article","venue":"Field Methods","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute","keywords":"Cognitive interview; Comparability; Coding (social sciences); Cultural bias; Interview; Comprehension; Psychology; Cognition; Cognitive bias; Social psychology; Cultural diversity; Linguistics; Social science; Sociology; Anthropology","score_opus":0.6243411063477348,"score_gpt":0.5774921755167205,"score_spread":0.04684893083101427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163505532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6376885,0.00065785047,0.31901693,0.0007314094,0.00045895396,0.02024453,0.00068773865,0.00028515043,0.020229032],"genre_scores_gemma":[0.7521048,0.0003495126,0.21391124,0.0005028999,0.000114937815,0.031379044,0.0007264432,0.000098763725,0.00081240555],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.73195386,0.20692104,0.027087275,0.008271579,0.023526302,0.0022398797],"domain_scores_gemma":[0.60414076,0.26356542,0.029316582,0.027170274,0.074582174,0.0012247425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.18649556,0.0011505899,0.0010095245,0.008142332,0.0023198538,0.0026554668,0.0017050114,0.000773435,0.0015380167],"category_scores_gemma":[0.38021007,0.0005844028,0.0014664892,0.0053274757,0.0043496964,0.0037568395,0.0047301915,0.0014113218,0.0003658381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014063264,0.0012819238,0.30889174,0.002875655,0.0012391332,0.00024776874,0.15737252,0.0030929993,0.009624246,0.025231883,0.0023700942,0.48636565],"study_design_scores_gemma":[0.001131056,0.006754862,0.66712755,0.0031994535,0.0011547344,0.0010832126,0.14326099,0.04473982,0.031922784,0.06827595,0.030489309,0.000860298],"about_ca_topic_score_codex":0.007724029,"about_ca_topic_score_gemma":0.0074494374,"teacher_disagreement_score":0.18649556,"about_ca_system_score_codex":0.0037232137,"about_ca_system_score_gemma":0.005373911,"threshold_uncertainty_score":0.98629457},"labels":[],"label_agreement":null},{"id":"W2535102966","doi":"10.1177/1525822x16669282","title":"Teach","year":2016,"lang":"en","type":"article","venue":"Field Methods","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Emic and etic; Variety (cybernetics); Teaching method; Contrast (vision); Computer science; Psychology; Mathematics education; Data science; Sociology; Artificial intelligence; Anthropology","score_opus":0.09571784265951663,"score_gpt":0.5093781280673683,"score_spread":0.4136602854078516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535102966","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012226481,0.0014281607,0.018917566,0.011799211,0.0019210003,0.00036698056,0.0050121443,0.0043654377,0.94396305],"genre_scores_gemma":[0.062388863,0.0014278393,0.023671104,0.0051850863,0.0005608773,0.00051387755,0.003156765,0.0011259534,0.90196973],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989215,0.00020405454,0.000049248054,0.00020240208,0.0004422251,0.00018053935],"domain_scores_gemma":[0.9971501,0.00051609817,0.00024751964,0.00053646887,0.00067844155,0.00087147614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014712388,0.00045108373,0.00032711367,0.0014502606,0.0024651214,0.003110584,0.0012798213,0.001333965,0.37740195],"category_scores_gemma":[0.0046431813,0.00029908065,0.0004658212,0.0010894923,0.0008822213,0.0029653455,0.0030021628,0.0014173243,0.13630953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013194296,0.00020276192,0.0039394125,0.00043003942,0.000015183088,0.00018732948,0.002858983,0.00016546989,0.0021718096,0.059961613,0.40473995,0.5251955],"study_design_scores_gemma":[0.0000081842045,0.000028775588,0.0022295914,0.000067533285,0.00000398537,0.00013349789,0.0004710664,0.00009130676,0.0005475763,0.0038339254,0.99257576,0.000008826007],"about_ca_topic_score_codex":0.0032320034,"about_ca_topic_score_gemma":0.013064026,"teacher_disagreement_score":0.62259805,"about_ca_system_score_codex":0.0022046883,"about_ca_system_score_gemma":0.0030667488,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2909493793","doi":"10.1177/1525822x18815416","title":"Labor Camp Surveys in GCC Countries: Group Quarter Subsampling","year":2019,"lang":"en","type":"article","venue":"Field Methods","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Socioeconomics; Geography; Demographic economics; Survey data collection; Economic growth; Demography; Sociology; Economics","score_opus":0.02661668577023032,"score_gpt":0.3997186416749944,"score_spread":0.3731019559047641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909493793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929662,0.00023759803,0.0018170953,0.00007390154,0.000024761044,0.0016265246,0.0015442584,0.000034650893,0.0016751222],"genre_scores_gemma":[0.980313,0.00029569812,0.010052145,0.0004917305,0.000026609001,0.0030441908,0.0044130366,0.00003130708,0.0013321945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99158806,0.006263963,0.0005142169,0.0005590071,0.000598227,0.00047647534],"domain_scores_gemma":[0.99391645,0.0017242644,0.00091486174,0.0017131425,0.0014113868,0.00031996678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009274162,0.00051902555,0.0003280431,0.0023095708,0.0012599701,0.00052329735,0.0008712316,0.00072877057,0.001761926],"category_scores_gemma":[0.016169742,0.00032046658,0.00040951732,0.0029834474,0.0008008696,0.0003500718,0.0015670573,0.00035904214,0.00051699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032673645,0.00020834514,0.9622173,0.00023544337,0.00020970624,0.00041663484,0.0101609845,0.0003367226,0.0014459315,0.000420407,0.0036228169,0.020399094],"study_design_scores_gemma":[0.00007554092,0.0006344235,0.9666903,0.00012588888,0.00011927174,0.00042418472,0.021187533,0.0008455101,0.00085501466,0.00025523675,0.008766726,0.000020312918],"about_ca_topic_score_codex":0.09139269,"about_ca_topic_score_gemma":0.079736866,"teacher_disagreement_score":0.09139269,"about_ca_system_score_codex":0.0012565355,"about_ca_system_score_gemma":0.0012278442,"threshold_uncertainty_score":0.18172145},"labels":[],"label_agreement":null},{"id":"W2929139003","doi":"10.1177/1525822x19838237","title":"A Team-based Approach to Open Coding: Considerations for Creating Intercoder Consensus","year":2019,"lang":"en","type":"article","venue":"Field Methods","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":461,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Clinical Research Institute","funders":"Centers for Disease Control and Prevention; Central Michigan University; U.S. Department of Agriculture","keywords":"Computer science; Coding (social sciences); Thematic analysis; Qualitative research; Dependability; Iterative and incremental development; Focus group; Data science; Qualitative property; Variety (cybernetics); Axial coding; Knowledge management; Management science; Grounded theory; Machine learning; Artificial intelligence; Sociology","score_opus":0.30536693910515106,"score_gpt":0.5467882379020462,"score_spread":0.24142129879689517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929139003","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008388423,0.0008777668,0.9495333,0.013632309,0.0020078442,0.01283684,0.00013112518,0.00048278924,0.0121097285],"genre_scores_gemma":[0.06218125,0.00056248764,0.8865279,0.0027365503,0.00039738577,0.04517781,0.00020869545,0.00050218,0.0017057733],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.102799475,0.7643957,0.058042035,0.015835628,0.055334415,0.0035927142],"domain_scores_gemma":[0.1250225,0.5158402,0.03083812,0.0848164,0.23494875,0.008534038],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.70348895,0.003330106,0.0043566944,0.02155676,0.023911472,0.023863258,0.014293974,0.009750988,0.0054639187],"category_scores_gemma":[0.78758305,0.0039798273,0.0037920177,0.01686564,0.03447567,0.025939714,0.040430043,0.01691133,0.0033547238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045067052,0.00026849692,0.004646435,0.0047132904,0.00044078406,0.00096388947,0.37918183,0.003024191,0.0037981567,0.3059198,0.019750092,0.27684236],"study_design_scores_gemma":[0.0005760201,0.0007236869,0.0035430372,0.02133907,0.00024463912,0.0016832411,0.14682627,0.036141746,0.0059395,0.5898891,0.19217397,0.0009196387],"about_ca_topic_score_codex":0.009560365,"about_ca_topic_score_gemma":0.011209968,"teacher_disagreement_score":0.29651105,"about_ca_system_score_codex":0.022680957,"about_ca_system_score_gemma":0.07113817,"threshold_uncertainty_score":0.36565095},"labels":[],"label_agreement":null},{"id":"W3048630063","doi":"10.1177/1525822x20987073","title":"Demonstrating the Utility of Egocentric Relational Event Modeling Using Focal Follow Data from Congolese BaYaka Children and Adolescents Engaging in Work and Play","year":2021,"lang":"en","type":"article","venue":"Field Methods","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Duration (music); Event (particle physics); Work (physics); Psychology; Computer science; Statistical analysis; Statistical model; Developmental psychology; Statistics; Artificial intelligence; Mathematics","score_opus":0.16770180519299263,"score_gpt":0.4387759047960713,"score_spread":0.2710740996030787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048630063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640909,0.00013544285,0.02994666,0.000098851335,0.0000062224854,0.000037937505,0.0037109132,0.00010294943,0.001870241],"genre_scores_gemma":[0.97823125,0.000056978795,0.017429404,0.000013993943,0.000006557528,0.000075699114,0.0036716585,0.00002311358,0.0004912603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968815,0.0001497744,0.000016043481,0.00010041521,0.000020904958,0.000024767667],"domain_scores_gemma":[0.9986084,0.0008697718,0.00019762678,0.00021364006,0.000065827706,0.000044803517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536616,0.00023841416,0.0001749267,0.00086341123,0.00031599737,0.00046197826,0.00037926575,0.00023260278,0.0016217174],"category_scores_gemma":[0.0033339143,0.000104296254,0.00033544397,0.0009416353,0.00022291465,0.0003806478,0.0005868907,0.00036865516,0.00024265816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025144394,0.00015980937,0.8612376,0.00016396228,0.0003925842,0.00033974746,0.0027914327,0.033478256,0.008343974,0.004270014,0.0021055574,0.08646563],"study_design_scores_gemma":[0.000010873766,0.00011215422,0.8698289,0.00003608771,0.00006405768,0.0002650336,0.0022750653,0.11696103,0.0016407486,0.0034000054,0.0053725014,0.000033565088],"about_ca_topic_score_codex":0.023421967,"about_ca_topic_score_gemma":0.05981629,"teacher_disagreement_score":0.023421967,"about_ca_system_score_codex":0.00042024557,"about_ca_system_score_gemma":0.00029309187,"threshold_uncertainty_score":0.046571255},"labels":[],"label_agreement":null},{"id":"W3089234988","doi":"10.1177/1525822x20958851","title":"Relationship Change, Network Change, and the Use of Single Name Generators in Longitudinal Research on Social Support","year":2020,"lang":"en","type":"article","venue":"Field Methods","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Longitudinal data; Longitudinal study; Social support; Computer science; Social network (sociolinguistics); Psychology; Social psychology; Data mining; World Wide Web; Mathematics; Statistics","score_opus":0.8183187710931087,"score_gpt":0.5706503319697406,"score_spread":0.2476684391233681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089234988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9386752,0.0011230608,0.046592426,0.0016626405,0.00020973543,0.00096637284,0.000716124,0.000058881393,0.009995556],"genre_scores_gemma":[0.9814152,0.00022296411,0.015178341,0.00030294125,0.0000890689,0.0017577404,0.00030563655,0.000015602074,0.00071247946],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9220816,0.062003657,0.004023256,0.0040285443,0.0068269344,0.0010360356],"domain_scores_gemma":[0.69835687,0.2042896,0.057261825,0.029185932,0.008447619,0.0024581936],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09188806,0.00038576798,0.000559456,0.002984927,0.003239943,0.0027991573,0.0017227681,0.0011950652,0.0026822763],"category_scores_gemma":[0.20437373,0.00044683128,0.00064723415,0.0033239836,0.0030141638,0.0051642535,0.0027939675,0.0015986201,0.0002855593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045080352,0.0005721578,0.8822632,0.00034091738,0.0004584339,0.00008341667,0.026116058,0.0008063491,0.000630518,0.012469034,0.001729826,0.07407925],"study_design_scores_gemma":[0.00019631663,0.0017145452,0.91096735,0.000730116,0.0005304094,0.00050620944,0.021271097,0.0124594215,0.0038003384,0.036768697,0.010862296,0.00019323966],"about_ca_topic_score_codex":0.0043088146,"about_ca_topic_score_gemma":0.008812571,"teacher_disagreement_score":0.90811193,"about_ca_system_score_codex":0.0019296363,"about_ca_system_score_gemma":0.0019478283,"threshold_uncertainty_score":0.4859563},"labels":[],"label_agreement":null},{"id":"W4213453208","doi":"10.1177/1525822x211070463","title":"Combining Conceptual Frameworks on Maternal Health in Indigenous Communities—Fuzzy Cognitive Mapping Using Participant and Operator-independent Weighting","year":2022,"lang":"en","type":"article","venue":"Field Methods","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fundación CeiBA; McGill University","keywords":"Weighting; Conceptualization; Operator (biology); Fuzzy cognitive map; Fuzzy logic; Computer science; Cognition; Cognitive map; Knowledge management; Indigenous; Management science; Artificial intelligence; Psychology; Cognitive psychology; Fuzzy set; Fuzzy classification; Engineering; Medicine","score_opus":0.13170548666034626,"score_gpt":0.4013847901660901,"score_spread":0.2696793035057438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213453208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14823271,0.00030115547,0.83475995,0.0010184519,0.00003969204,0.0005647144,0.0001900295,0.0001333838,0.014759842],"genre_scores_gemma":[0.50922024,0.00011835038,0.48880148,0.00006539576,0.000010052195,0.00081126124,0.00013074196,0.000044095985,0.00079824025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.97967666,0.014993353,0.0008217384,0.0012483764,0.0028339864,0.00042590083],"domain_scores_gemma":[0.9686086,0.023429269,0.0012203213,0.0026293811,0.0036235286,0.00048889464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03672882,0.00072121556,0.0005575779,0.007872501,0.0026340028,0.0043003983,0.0015724606,0.0009933207,0.0026545916],"category_scores_gemma":[0.05674069,0.00051710656,0.0012532503,0.0053845625,0.005755399,0.009139653,0.00680051,0.0014236614,0.00014281333],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021858729,0.00017107606,0.008017715,0.0008656994,0.00020543404,0.00035348567,0.22061753,0.010958108,0.004853684,0.51407623,0.0012588875,0.23840356],"study_design_scores_gemma":[0.000053777738,0.00014333155,0.006880321,0.0006140287,0.00014866803,0.00022879841,0.08191357,0.05874963,0.004360548,0.8234326,0.023318531,0.00015612328],"about_ca_topic_score_codex":0.0075042066,"about_ca_topic_score_gemma":0.010103417,"teacher_disagreement_score":0.03672882,"about_ca_system_score_codex":0.0036927266,"about_ca_system_score_gemma":0.0036450117,"threshold_uncertainty_score":0.19424284},"labels":[],"label_agreement":null},{"id":"W4214547169","doi":"10.1177/1525822x04264108","title":"Reviews","year":2004,"lang":"en","type":"article","venue":"Field Methods","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology","score_opus":0.1931168137518929,"score_gpt":0.5559587845489778,"score_spread":0.3628419707970849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214547169","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090263545,0.4772397,0.0145377815,0.013538015,0.033867233,0.0002552306,0.0013206062,0.0014873599,0.45685148],"genre_scores_gemma":[0.0058959518,0.30502647,0.00996916,0.0060034324,0.009403862,0.00030517005,0.0021454988,0.0008141881,0.6604363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989396,0.00020911338,0.000056487297,0.00015219316,0.00054549315,0.000097205775],"domain_scores_gemma":[0.9973241,0.0006423105,0.00013229667,0.00056990486,0.0011068925,0.00022443556],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017345193,0.001236618,0.0009579915,0.0039125984,0.0009891099,0.002981326,0.0025525726,0.0018954725,0.20757851],"category_scores_gemma":[0.0041355425,0.0005587568,0.0005492417,0.0030383219,0.0012102091,0.0030077999,0.0016491298,0.0018343821,0.1480467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003672052,0.000044965658,0.00007811122,0.0011807327,0.000011583818,0.000029060126,0.000057810765,0.000060258728,0.00047866924,0.013189474,0.6429564,0.34187624],"study_design_scores_gemma":[0.0000031665013,0.0000068593376,0.00008024729,0.0002817516,0.0000047145827,0.000057750534,0.000019671672,0.000013705317,0.00015977568,0.0020735788,0.9972958,0.0000030351368],"about_ca_topic_score_codex":0.0021987078,"about_ca_topic_score_gemma":0.0036074263,"teacher_disagreement_score":0.79242146,"about_ca_system_score_codex":0.0015775498,"about_ca_system_score_gemma":0.00311622,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4396833973","doi":"10.1177/1525822x241247444","title":"A Psychometric Network Analysis Approach for Detecting Item Wording Effects in Self-report Measures across Subgroups","year":2024,"lang":"en","type":"article","venue":"Field Methods","topic":"Mental Health Research Topics","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Northern Alberta Institute of Technology","funders":"","keywords":"Psychology; Item response theory; Psychometrics; Clinical psychology; Social psychology; Computer science","score_opus":0.14250622833866208,"score_gpt":0.5457733702734755,"score_spread":0.4032671419348134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396833973","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30084416,0.00030757097,0.6804328,0.00045812732,0.0003858253,0.0034817075,0.0020218047,0.000995159,0.011072941],"genre_scores_gemma":[0.7871635,0.00009975665,0.20120603,0.00027752633,0.00013097467,0.008164794,0.001522352,0.00030975122,0.0011252435],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.90326154,0.069714926,0.007368261,0.009332739,0.009529993,0.00079252693],"domain_scores_gemma":[0.6193726,0.2866394,0.024044957,0.04684101,0.022035252,0.0010668002],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.101382,0.0015523954,0.0012502004,0.008335971,0.0017641415,0.003078952,0.0017356351,0.0012023258,0.0043699234],"category_scores_gemma":[0.32533208,0.00076255546,0.0025488785,0.0067270636,0.0020416891,0.0052075344,0.0037924626,0.002217994,0.0007399057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012965745,0.0006543643,0.63276154,0.0009739488,0.0045842202,0.00023528835,0.009627499,0.004175055,0.008860474,0.023470975,0.0045244545,0.3088357],"study_design_scores_gemma":[0.00035180632,0.0025436096,0.79296255,0.00054188445,0.0016050447,0.0006347091,0.006143759,0.09936067,0.013708919,0.061244693,0.02052897,0.0003734744],"about_ca_topic_score_codex":0.0021144755,"about_ca_topic_score_gemma":0.001986045,"teacher_disagreement_score":0.898618,"about_ca_system_score_codex":0.0013012481,"about_ca_system_score_gemma":0.0012152288,"threshold_uncertainty_score":0.5361657},"labels":[],"label_agreement":null},{"id":"W7117292347","doi":"10.1177/1525822x251409928","title":"360-degree Photography: A Step-by-step Method for Collecting and Analyzing Spherical Visual Data in the Social Sciences","year":2025,"lang":"en","type":"article","venue":"Field Methods","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Photography; Field (mathematics); Visual methods; Data collection; Social media; Digital photography; Computational photography; Visual research","score_opus":0.735171049016948,"score_gpt":0.731280502786055,"score_spread":0.0038905462308929106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117292347","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018199421,0.00035190413,0.9405198,0.00057787367,0.00022426272,0.0102763865,0.00097399723,0.0014957745,0.027380617],"genre_scores_gemma":[0.022924708,0.00031560066,0.96595967,0.00011575782,0.00003199718,0.005973288,0.00021868295,0.00035168315,0.0041087335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896633,0.005659419,0.0005223715,0.0011797538,0.0026853043,0.00028985055],"domain_scores_gemma":[0.9908676,0.0037558193,0.00059364573,0.00198086,0.0024459844,0.000355994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012460152,0.0010302941,0.0005260853,0.0050878758,0.0026569788,0.0030184689,0.0017459666,0.0008032749,0.01623907],"category_scores_gemma":[0.017363457,0.00090143306,0.0008775561,0.0039862664,0.0034432672,0.0022772688,0.0050718426,0.0018934519,0.0044345018],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048522197,0.0005001528,0.007413574,0.0023653335,0.000080306716,0.00044726647,0.056283616,0.002168758,0.07733337,0.07718792,0.032085955,0.7436486],"study_design_scores_gemma":[0.00045802328,0.0014518033,0.042409413,0.0022688808,0.00017482729,0.002215535,0.047387682,0.016647309,0.09614161,0.099308535,0.690717,0.0008194213],"about_ca_topic_score_codex":0.0035332043,"about_ca_topic_score_gemma":0.011089115,"teacher_disagreement_score":0.01623907,"about_ca_system_score_codex":0.0011947408,"about_ca_system_score_gemma":0.0046211253,"threshold_uncertainty_score":0.06589639},"labels":[],"label_agreement":null}]}