{"meta":{"query_hash":"8c292b51cab4","filters":{"venue":"Hypothesis Research Journal for Health Information Professionals"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/8c292b51cab4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Hypothesis+Research+Journal+for+Health+Information+Professionals"},"results":[{"id":"W2992623094","doi":"10.18060/23805","title":"Benchmarking study of hospital libraries","year":2019,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":10,"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":"Benchmarking; Interlibrary loan; Library science; Business; Service (business); Scope (computer science); Demographics; Service delivery framework; Health care; Medicine; Political science; Computer science; Marketing; Sociology","score_opus":0.27079704617221967,"score_gpt":0.5493112099098617,"score_spread":0.27851416373764204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992623094","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":[0.96823156,0.0012448656,0.0016995074,0.0011514602,0.00006237223,0.0002655646,0.0011125017,0.00009455714,0.026137661],"genre_scores_gemma":[0.9959287,0.00044950654,0.0008096652,0.00023367132,0.00005293737,0.00019180645,0.00065872044,0.000026885133,0.0016480798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9833356,0.00917643,0.0013815752,0.0006969465,0.0034975174,0.0019118858],"domain_scores_gemma":[0.9473844,0.010139992,0.012698493,0.0023248557,0.022598986,0.0048531936],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.011488415,0.0003106472,0.00051778794,0.0076634483,0.0018244315,0.0035353252,0.0012518836,0.00051832123,0.0050115963],"category_scores_gemma":[0.061002422,0.0002521675,0.00036141105,0.014739274,0.00073903264,0.0034026855,0.0032080929,0.00071447215,0.0010026623],"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":[0.00033147086,0.0010166265,0.8269315,0.0006777949,0.00010219519,0.0004814332,0.024255209,0.0011726222,0.00030998822,0.006047329,0.010696996,0.12797688],"study_design_scores_gemma":[0.000045306115,0.0010202188,0.8714199,0.00052934664,0.000053141663,0.0008804604,0.09120181,0.0018174709,0.0010692015,0.0010774527,0.030811613,0.000074044154],"about_ca_topic_score_codex":0.009799438,"about_ca_topic_score_gemma":0.0078169685,"teacher_disagreement_score":0.99646467,"about_ca_system_score_codex":0.0058983257,"about_ca_system_score_gemma":0.005500678,"threshold_uncertainty_score":0.06075734},"labels":[],"label_agreement":null},{"id":"W3101268491","doi":"10.18060/23945","title":"Expanding a single-institution survey to multiple institutions: Lessons learned in research design and deployment","year":2020,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"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":"Software deployment; Institution; Survey research; Computer science; Engineering management; Process management; Business; Data science; Engineering; Political science; Software engineering","score_opus":0.7624157774360699,"score_gpt":0.6129199055066289,"score_spread":0.14949587192944103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101268491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06945879,0.008540023,0.69788355,0.10447803,0.0051569724,0.08707622,0.0012590608,0.0027488722,0.023398474],"genre_scores_gemma":[0.11528119,0.0026633246,0.8289578,0.012389993,0.0011526947,0.0377496,0.00038401777,0.00051839335,0.00090298674],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.28985563,0.638566,0.025256261,0.008796936,0.03313029,0.0043948637],"domain_scores_gemma":[0.13847072,0.6486154,0.015009001,0.10226707,0.08705258,0.0085852295],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6308765,0.0027291311,0.0030360234,0.0064680227,0.004874069,0.01064699,0.010442204,0.0047325334,0.0055209147],"category_scores_gemma":[0.6282454,0.0027923498,0.0035013035,0.009759012,0.010699404,0.024894735,0.012748122,0.012150597,0.0032233314],"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":[0.0008692273,0.002720909,0.053936735,0.010814032,0.0006214396,0.00070515805,0.036374692,0.0047955452,0.0018927782,0.023837121,0.033741526,0.8296909],"study_design_scores_gemma":[0.0033807044,0.020714924,0.14024687,0.06799999,0.001484941,0.002825649,0.11455853,0.035973575,0.011975824,0.18735623,0.41178682,0.0016959495],"about_ca_topic_score_codex":0.012908121,"about_ca_topic_score_gemma":0.015629346,"teacher_disagreement_score":0.36912352,"about_ca_system_score_codex":0.011287036,"about_ca_system_score_gemma":0.03981564,"threshold_uncertainty_score":0.45519507},"labels":[],"label_agreement":null},{"id":"W4361255812","doi":"10.18060/27162","title":"An Introduction to Statistics for Librarians (Part Two):","year":2023,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Statistics Education and Methodologies","field":"Mathematics","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":"University of Regina","funders":"","keywords":"Measure (data warehouse); Statistics; Column (typography); Set (abstract data type); Data set; Value (mathematics); Data type; Midpoint; Block (permutation group theory); Type (biology); Computer science; Mathematics; Data mining; Connection (principal bundle); Combinatorics; Geology","score_opus":0.5867923453815265,"score_gpt":0.6162388309696323,"score_spread":0.02944648558810581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361255812","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":[0.0012726006,0.10247088,0.24580406,0.22135763,0.21446382,0.0028775714,0.01858675,0.023001535,0.17016521],"genre_scores_gemma":[0.00843164,0.12523042,0.16615842,0.19432276,0.20626792,0.0077075846,0.019511668,0.015498425,0.25687113],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898958,0.004411815,0.0013588829,0.0006142347,0.0034320299,0.0002872296],"domain_scores_gemma":[0.9097214,0.059609536,0.00386452,0.0043311575,0.01914883,0.0033245925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0138703,0.0019062627,0.00201973,0.008059913,0.0015671147,0.0076655485,0.001949016,0.004117462,0.10896405],"category_scores_gemma":[0.07739729,0.0015570207,0.0018456428,0.011185196,0.0028433425,0.0071290387,0.0031549507,0.010998224,0.16335046],"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":[0.000022558641,0.00004104907,0.00017219524,0.00041516154,0.000010074185,0.000034454093,0.00008992813,0.00013316411,0.0002957648,0.0041586193,0.9380416,0.056585412],"study_design_scores_gemma":[0.00001342152,0.00005215655,0.0010887581,0.0009896517,0.0000055512864,0.00019107296,0.00014946886,0.0003059295,0.0001361971,0.013177643,0.98385227,0.000037938873],"about_ca_topic_score_codex":0.0018286931,"about_ca_topic_score_gemma":0.0020825218,"teacher_disagreement_score":0.10896405,"about_ca_system_score_codex":0.002494552,"about_ca_system_score_gemma":0.0044361716,"threshold_uncertainty_score":0.3645211},"labels":[],"label_agreement":null},{"id":"W4386699064","doi":"10.18060/27364","title":"Methods for Evaluating Database Coverage","year":2023,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Computer science; Variety (cybernetics); Information retrieval; Search engine indexing; Database; Bibliographic database; Quality (philosophy); Artificial intelligence","score_opus":0.717534433846266,"score_gpt":0.7259274275672221,"score_spread":0.008392993720956032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699064","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":[0.030413778,0.020831944,0.60906744,0.008753799,0.002653386,0.20958403,0.057727307,0.011331358,0.049636964],"genre_scores_gemma":[0.041282453,0.0034890198,0.731585,0.0014215142,0.0005590676,0.20466335,0.012404712,0.0016786463,0.00291615],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.3668076,0.26806813,0.23207888,0.01696483,0.1128486,0.0032319787],"domain_scores_gemma":[0.113246776,0.60211945,0.06470372,0.06743092,0.14939697,0.0031021626],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4074215,0.0052152476,0.0064696628,0.08382774,0.004988441,0.016766645,0.0076460144,0.003976022,0.028615195],"category_scores_gemma":[0.7808196,0.003017189,0.010296641,0.07561278,0.0046191714,0.016277019,0.017609438,0.0047538825,0.006957088],"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":[0.0030556826,0.00070481456,0.028761527,0.07929955,0.0034771466,0.0004323654,0.011952921,0.0022787782,0.003300189,0.036922432,0.051766317,0.7780482],"study_design_scores_gemma":[0.0039010148,0.0027131878,0.054968435,0.08482619,0.011274276,0.0020287524,0.0145174945,0.023184333,0.026890192,0.09687913,0.6769074,0.0019095972],"about_ca_topic_score_codex":0.004346016,"about_ca_topic_score_gemma":0.004536532,"teacher_disagreement_score":0.59257853,"about_ca_system_score_codex":0.008205369,"about_ca_system_score_gemma":0.024366686,"threshold_uncertainty_score":0.7307548},"labels":[],"label_agreement":null},{"id":"W4386699143","doi":"10.18060/26528","title":"Evaluating the Accuracy of scite, a Smart Citation Index","year":2023,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"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 Regina","funders":"","keywords":"Citation; Meaning (existential); Categorization; Recall; Context (archaeology); Computer science; Sample (material); Information retrieval; Precision and recall; Data science; Psychology; Artificial intelligence; Library science; Cognitive psychology; Geography","score_opus":0.7332254577048797,"score_gpt":0.6609661716199537,"score_spread":0.07225928608492593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7070305,0.04161347,0.120545626,0.008403323,0.0033524309,0.004796448,0.043712165,0.005851183,0.064694956],"genre_scores_gemma":[0.83582824,0.008517957,0.127917,0.0009336971,0.0012389696,0.0032857866,0.018272756,0.0005769048,0.0034285604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.8590869,0.03336363,0.052967325,0.007299803,0.046078093,0.0012043159],"domain_scores_gemma":[0.28098616,0.4998671,0.07125011,0.032666642,0.1121477,0.003082233],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.14802663,0.0012476228,0.003858205,0.08177944,0.0023623675,0.010346671,0.002487741,0.0028509519,0.0032792343],"category_scores_gemma":[0.58265036,0.0006445558,0.004143128,0.057469174,0.0023099883,0.0099947695,0.0055226167,0.0014396763,0.0018007845],"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":[0.0012112649,0.0003776931,0.5292342,0.017554168,0.0051125614,0.0004372094,0.00728715,0.007116647,0.0024674656,0.008940025,0.031667624,0.388594],"study_design_scores_gemma":[0.0006028331,0.0027715254,0.6398656,0.009892036,0.007466765,0.003498568,0.007969697,0.09591804,0.012193532,0.04080919,0.17788936,0.001122858],"about_ca_topic_score_codex":0.002604447,"about_ca_topic_score_gemma":0.0047536744,"teacher_disagreement_score":0.9182206,"about_ca_system_score_codex":0.0021375054,"about_ca_system_score_gemma":0.004059353,"threshold_uncertainty_score":0.782849},"labels":[],"label_agreement":null},{"id":"W4393221165","doi":"10.18060/27969","title":"An Introduction to Statistics for Librarians (Part Three): An Introduction to Statistical Tests","year":2024,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Statistics Education and Methodologies","field":"Mathematics","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":"University of Regina","funders":"","keywords":"Statistics; Data science; Computer science; Library science; Mathematics","score_opus":0.4375629916689616,"score_gpt":0.5842964913443752,"score_spread":0.1467334996754136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393221165","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":[0.001431007,0.03746965,0.7046849,0.045484737,0.03540098,0.0032623427,0.019909605,0.028510274,0.123846464],"genre_scores_gemma":[0.00850908,0.06504427,0.6195443,0.056443844,0.05360571,0.008562105,0.019848904,0.020121213,0.14832054],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99092776,0.004229224,0.0013518842,0.00055024476,0.0027347775,0.00020612602],"domain_scores_gemma":[0.9115171,0.07224067,0.0030155485,0.0033229734,0.008401268,0.0015024296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013109064,0.0020848054,0.0019015869,0.0056840256,0.0010694728,0.004452544,0.0019960573,0.0028522874,0.11003944],"category_scores_gemma":[0.06281045,0.0021330847,0.0016806866,0.006974243,0.0023932117,0.0056902547,0.0024344502,0.008816808,0.13825157],"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":[0.000049164355,0.00011427502,0.00040383282,0.0010133417,0.000024583387,0.00013173562,0.00023732956,0.0006575155,0.0012860196,0.012148526,0.8324802,0.15145357],"study_design_scores_gemma":[0.000025827216,0.00013193874,0.0017653377,0.00095594896,0.000011558403,0.0005359923,0.00016754217,0.0009111243,0.0005149689,0.0386215,0.9562814,0.0000768206],"about_ca_topic_score_codex":0.0010400104,"about_ca_topic_score_gemma":0.0014965857,"teacher_disagreement_score":0.11003944,"about_ca_system_score_codex":0.0013165114,"about_ca_system_score_gemma":0.0025211652,"threshold_uncertainty_score":0.36811858},"labels":[],"label_agreement":null},{"id":"W4408540885","doi":"10.18060/28651","title":"Authors' Reply to Rife et al.","year":2025,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"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 Regina","funders":"","keywords":"Philosophy","score_opus":0.1345768343986313,"score_gpt":0.5859282226586017,"score_spread":0.45135138825997034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408540885","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011498165,0.00096860237,0.00004859825,0.93650585,0.061860196,0.000006692205,0.00006866504,0.000022419063,0.00040393585],"genre_scores_gemma":[0.0015805555,0.0009341215,0.00012823158,0.940984,0.05415887,0.000035009685,0.000044956327,0.000023260416,0.0021109486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917881,0.002573848,0.0012014135,0.0010148647,0.002656193,0.00076560094],"domain_scores_gemma":[0.933302,0.04192815,0.0028054167,0.001984077,0.01640428,0.003576151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013498422,0.0009889543,0.0020185865,0.0016147278,0.003451266,0.0048350208,0.004155762,0.046979293,0.01632793],"category_scores_gemma":[0.11753753,0.0009879034,0.0018456753,0.0011816939,0.0051648566,0.00481265,0.003055297,0.046754763,0.012770935],"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":[0.00004486005,0.0000108652375,0.00015165514,0.00006818575,0.000017355267,0.00013895823,0.00008755382,0.00001411381,0.00003106174,0.0006392719,0.99686843,0.0019276212],"study_design_scores_gemma":[0.00023953772,0.00007591762,0.0011893024,0.00065758644,0.00010615392,0.0013031088,0.0009244863,0.0001812039,0.00053659023,0.0073327,0.9873125,0.00014088386],"about_ca_topic_score_codex":0.0032014893,"about_ca_topic_score_gemma":0.003220826,"teacher_disagreement_score":0.046979293,"about_ca_system_score_codex":0.0032200145,"about_ca_system_score_gemma":0.0057468587,"threshold_uncertainty_score":0.07138735},"labels":[],"label_agreement":null},{"id":"W4408574967","doi":"10.18060/28737","title":"Statistics For Librarians: Probability and Odds","year":2025,"lang":"en","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Statistics Education and Methodologies","field":"Mathematics","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":"University of Regina","funders":"","keywords":"Odds; Statistics; Probability and statistics; Computer science; Mathematics; Logistic regression","score_opus":0.5627153235853783,"score_gpt":0.60266507143145,"score_spread":0.03994974784607164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408574967","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016938784,0.27457687,0.20581304,0.34650198,0.065717444,0.0002516992,0.0047016568,0.0038774225,0.096866004],"genre_scores_gemma":[0.057905667,0.3272361,0.20742881,0.11244157,0.20455185,0.0014771248,0.0063535413,0.0047700983,0.07783535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97680193,0.013015077,0.0020864457,0.0010992122,0.006706185,0.00029107567],"domain_scores_gemma":[0.8368972,0.13721836,0.0056311386,0.0060422863,0.01231287,0.0018980376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015191552,0.0013116035,0.0021120973,0.009215929,0.0016846218,0.010219713,0.0013696991,0.0035949294,0.04269848],"category_scores_gemma":[0.22627392,0.0011140539,0.0007778654,0.016404025,0.0061196135,0.012495022,0.0028048586,0.011412996,0.026711565],"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":[0.000053064432,0.000024165083,0.0011510757,0.00074491854,0.00004952417,0.00007970398,0.0002646077,0.00053628633,0.00011312092,0.11317833,0.7419204,0.14188468],"study_design_scores_gemma":[0.000029091383,0.00006181288,0.0017851336,0.0015990462,0.000032201257,0.0005446279,0.0006472661,0.0021408002,0.00024822375,0.32204622,0.6707935,0.00007207119],"about_ca_topic_score_codex":0.0020065142,"about_ca_topic_score_gemma":0.0021009832,"teacher_disagreement_score":0.04269848,"about_ca_system_score_codex":0.0021633809,"about_ca_system_score_gemma":0.0036591562,"threshold_uncertainty_score":0.14284062},"labels":[],"label_agreement":null},{"id":"W4417429475","doi":"10.18060/28782","title":"An Examination of Health Information Professionals’ Discourse Surrounding Knowledge Synthesis","year":2025,"lang":"","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Health information; Health professionals; Work (physics); Discourse analysis; Medical library; Content analysis; Descriptive research; Association (psychology)","score_opus":0.30848343256523775,"score_gpt":0.5825426313662584,"score_spread":0.27405919880102064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417429475","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":[0.6094069,0.012092636,0.04008565,0.23993479,0.0057885363,0.0018692138,0.00078635506,0.00043283962,0.089603126],"genre_scores_gemma":[0.9541577,0.004579679,0.01345642,0.014394961,0.0010907161,0.0017084506,0.00024833364,0.00037854048,0.009985305],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.8588247,0.11317531,0.0059700515,0.004788542,0.013434897,0.003806514],"domain_scores_gemma":[0.5004165,0.4651937,0.009151185,0.0052002138,0.01622493,0.00381337],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.11766546,0.00093948044,0.0012443401,0.010674857,0.024222206,0.019987151,0.0029839268,0.008163476,0.004834897],"category_scores_gemma":[0.20826901,0.0011301058,0.00096592476,0.009077442,0.038630575,0.01455592,0.021279594,0.010132028,0.0008410821],"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":[0.00001642756,0.000008259201,0.00022889112,0.0002378455,0.0000029642129,0.0002626538,0.98839873,0.00002366724,0.00032682807,0.0055088475,0.0009481562,0.0040368023],"study_design_scores_gemma":[0.000008913879,0.000029011182,0.00053553743,0.0014927022,0.000008824131,0.00022994528,0.9233922,0.00019611117,0.0006235625,0.003918963,0.06953556,0.000028687744],"about_ca_topic_score_codex":0.007580749,"about_ca_topic_score_gemma":0.004758816,"teacher_disagreement_score":0.88233453,"about_ca_system_score_codex":0.024250448,"about_ca_system_score_gemma":0.02041128,"threshold_uncertainty_score":0.6222819},"labels":[],"label_agreement":null},{"id":"W4417429483","doi":"10.18060/29393","title":"Introducing the New and Emerging Researchers Submission Category","year":2025,"lang":"","type":"article","venue":"Hypothesis Research Journal for Health Information Professionals","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Government (linguistics); Work (physics); Context (archaeology); Agency (philosophy); Key (lock)","score_opus":0.29237384295567487,"score_gpt":0.5592871541106441,"score_spread":0.26691331115496925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417429483","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016775399,0.0021141958,0.004172306,0.3667584,0.5911861,0.00038742815,0.0009724313,0.00064458244,0.03208696],"genre_scores_gemma":[0.034747243,0.0041741002,0.011907171,0.20307902,0.56351894,0.0013616194,0.0014748481,0.001442844,0.17829421],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9486872,0.011674414,0.0047089974,0.006497973,0.023882855,0.004548526],"domain_scores_gemma":[0.6108282,0.11105291,0.01893967,0.027527994,0.15359287,0.07805837],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.06938178,0.001226893,0.002370785,0.007095589,0.00909248,0.030038668,0.0063064764,0.017216884,0.13378985],"category_scores_gemma":[0.20447122,0.0007945396,0.0025302193,0.0029713192,0.007393797,0.017353818,0.014103625,0.015996922,0.04302282],"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":[0.00013041131,0.000069505484,0.0011216364,0.00036593992,0.000021991047,0.00018847243,0.0003335859,0.000041277675,0.00031287028,0.036355216,0.9384401,0.022619044],"study_design_scores_gemma":[0.00010515735,0.0001357581,0.001732351,0.0005488935,0.000035644007,0.0002744702,0.0012456361,0.00038102127,0.00035980932,0.048691068,0.9464006,0.000089652625],"about_ca_topic_score_codex":0.0010446223,"about_ca_topic_score_gemma":0.002119714,"teacher_disagreement_score":0.96996135,"about_ca_system_score_codex":0.0076386156,"about_ca_system_score_gemma":0.020800265,"threshold_uncertainty_score":0.44757164},"labels":[],"label_agreement":null}]}