{"meta":{"query_hash":"87301007d107","filters":{"venue":"Performance Measurement and Metrics"},"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/87301007d107","api":"https://metacan.xera.ac/api/v1/cohort?venue=Performance+Measurement+and+Metrics"},"results":[{"id":"W2034843707","doi":"10.1108/14678040410546082","title":"Utilizing points of differentiation to enhance competitiveness and growth: some thoughts for consideration","year":2004,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","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":"Athabasca University","funders":"","keywords":"Action (physics); Process (computing); Business; Product (mathematics); Lever; Private sector; Marketing; Public relations; Process management; Computer science; Law; Political science; Engineering","score_opus":0.06011592710246489,"score_gpt":0.24758644657281606,"score_spread":0.18747051947035118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034843707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8623199,0.0017053827,0.13473675,0.00037481266,0.00020982657,0.00025182063,0.000021925242,0.000012404083,0.00036719194],"genre_scores_gemma":[0.99638474,0.0012265551,0.0020880084,0.0001419411,0.0000748485,0.00003208886,0.0000091517,0.000007949754,0.000034719546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991301,0.000008843545,0.00038868096,0.00023681467,0.00009565298,0.0001399411],"domain_scores_gemma":[0.999441,0.000029134106,0.00017937226,0.000095190444,0.00019016916,0.00006508025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071405113,0.00010262799,0.00027458565,0.00043599127,0.00012855248,0.00003981506,0.00005003229,0.00003630246,0.000015700509],"category_scores_gemma":[0.00020200256,0.00011106971,0.000045153458,0.0003581236,0.000024369656,0.00023209312,0.000022186694,0.00004044109,0.0000065925783],"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":[0.00015071491,0.0003583072,0.39314568,0.0010138743,0.00022990574,3.767512e-7,0.0015678757,0.0002750049,0.0061162733,0.58415055,0.000046105055,0.0129453065],"study_design_scores_gemma":[0.0033916647,0.0006641905,0.6508248,0.00034623872,0.00013117296,0.0000031473028,0.00030263106,0.00791032,0.2811223,0.050153375,0.004232649,0.00091752457],"about_ca_topic_score_codex":0.000020348027,"about_ca_topic_score_gemma":0.000014347146,"teacher_disagreement_score":0.5339972,"about_ca_system_score_codex":0.00006270542,"about_ca_system_score_gemma":0.000013731433,"threshold_uncertainty_score":0.45292914},"labels":[],"label_agreement":null},{"id":"W2044704951","doi":"10.1108/pmm-07-2012-0026","title":"A comparison of academic libraries: an analysis using a self‐organizing map","year":2013,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":9,"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":"Computer science; Service (business); Self-organizing map; Originality; Metric (unit); Identification (biology); Resource (disambiguation); Library catalog; Library classification; Academic library; Measure (data warehouse); Information retrieval; Data science; World Wide Web; Knowledge management; Library science; Cluster analysis; Data mining; Sociology; Marketing; Business; Artificial intelligence","score_opus":0.19745739353519404,"score_gpt":0.32218970435225064,"score_spread":0.1247323108170566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044704951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869746,0.00081589696,0.00005711013,0.00012597293,0.000031271982,0.00015420171,0.0000014621712,0.000028421808,0.000088181056],"genre_scores_gemma":[0.9990149,0.00013849688,0.0007247102,0.000027580878,0.000053132695,0.0000046643927,0.000007925348,7.361152e-7,0.000027825727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988084,0.00004867532,0.00024623924,0.00015891573,0.00054276286,0.00019500821],"domain_scores_gemma":[0.9994238,0.000037402002,0.0001065298,0.000043400698,0.00028103663,0.000107843334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005679958,0.00008523764,0.00020386798,0.00012401775,0.00019068837,0.0000618846,0.00015564736,0.00007600306,0.00018785083],"category_scores_gemma":[0.00006089955,0.000033736927,0.000040644853,0.0022408678,0.00003698842,0.0004167889,0.000049784125,0.00013877903,0.00000643291],"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":[0.0000045898287,0.00007193314,0.8287775,0.000026383734,0.00005840997,3.4122074e-8,0.00038984427,0.000032373722,0.12851098,0.000022543663,0.000051070885,0.04205434],"study_design_scores_gemma":[0.00012597616,0.00018046812,0.8891511,0.000019283872,0.00011396905,2.7600134e-7,0.0013497198,0.07966112,0.027983338,0.000010654206,0.0012578726,0.00014620583],"about_ca_topic_score_codex":0.00017278464,"about_ca_topic_score_gemma":0.000024280505,"teacher_disagreement_score":0.10052764,"about_ca_system_score_codex":0.00003240239,"about_ca_system_score_gemma":0.000013859984,"threshold_uncertainty_score":0.20568348},"labels":[],"label_agreement":null},{"id":"W2061354363","doi":"10.1108/14678041011064070","title":"Benchmarking on a national scale: the 2007 LibQUAL+<sup>®</sup> Canada experience","year":2010,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Library Science and Administration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Benchmarking; Mandate; Originality; Service (business); Library science; Scale (ratio); Process (computing); Quality (philosophy); Business; Computer science; Engineering management; Public relations; Sociology; Knowledge management; Process management; Political science; Marketing; Engineering; Qualitative research; Geography","score_opus":0.05704789990463855,"score_gpt":0.28035440630463554,"score_spread":0.223306506399997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061354363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95495576,0.0000661881,0.00002072238,0.0016578158,0.0007426439,0.00016244796,0.000002457964,0.000017855624,0.042374115],"genre_scores_gemma":[0.99768335,0.00012624961,0.00015011668,0.0009594713,0.00059450674,0.000015844413,0.00000198511,0.0000032826479,0.00046517767],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742174,0.000043586428,0.0001517056,0.00018499646,0.001925177,0.00027277783],"domain_scores_gemma":[0.9994076,0.00009638713,0.0000659375,0.00010347763,0.00020072072,0.00012589595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002040175,0.00008742188,0.00006888616,0.00009169379,0.0011811008,0.00017836082,0.00027243185,0.000044755656,0.00015588709],"category_scores_gemma":[0.0004500411,0.00006168265,0.000018183591,0.0007983393,0.00019391798,0.0006341155,0.000022834683,0.00019339166,0.000005908085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052404353,0.00017678866,0.7420845,0.000036021753,0.000022215689,0.0000031190928,0.03212291,0.00038695088,0.0007779726,0.018531952,0.040287767,0.16551737],"study_design_scores_gemma":[0.0003220824,0.00014746925,0.14614499,0.0000348898,0.000010979594,0.0000024824872,0.0071213385,0.01020978,0.0021014202,0.00017976669,0.8333507,0.00037407214],"about_ca_topic_score_codex":0.016248513,"about_ca_topic_score_gemma":0.0754317,"teacher_disagreement_score":0.793063,"about_ca_system_score_codex":0.00009900309,"about_ca_system_score_gemma":0.0012462422,"threshold_uncertainty_score":0.9903024},"labels":[],"label_agreement":null},{"id":"W2084548729","doi":"10.1108/14678041111124270","title":"Factor structure and psychometric properties of a Spanish version of LibQUAL+™","year":2011,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","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":"Université Laval; Saint Mary's University","funders":"","keywords":"Nomological network; Discriminant validity; Scale (ratio); Reliability (semiconductor); Service quality; Psychology; Convergent validity; Validity; Service (business); Originality; Confirmatory factor analysis; Computer science; Applied psychology; Social psychology; Psychometrics; Marketing; Business; Creativity; Clinical psychology","score_opus":0.11583662605994999,"score_gpt":0.22327006467242985,"score_spread":0.10743343861247986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084548729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996276,0.0020806491,0.0000203818,0.000020532823,0.0001911229,0.00016407557,0.000003949584,0.00002103663,0.0012222446],"genre_scores_gemma":[0.99939317,0.00031645191,0.00011622171,0.00008935223,0.00005792123,0.0000022782488,0.0000015450222,0.0000100090565,0.000013034049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884653,0.000008873922,0.00028886064,0.00016925174,0.0005256919,0.00016079507],"domain_scores_gemma":[0.99920577,0.000007879788,0.00025104173,0.00014806964,0.0003695768,0.000017682987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004985099,0.00013750092,0.00024315622,0.00078882923,0.00008202754,0.000030251553,0.00012938198,0.000063814965,0.00009600808],"category_scores_gemma":[0.00011772652,0.00010691876,0.000033388325,0.0014434785,0.000065950095,0.0006207299,0.00009069807,0.000090741465,0.0000037907964],"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":[0.0002786043,0.0001827533,0.94002587,0.0037934158,0.00007161875,2.4458197e-7,0.0010685349,0.0000015090365,0.016510166,0.00044412704,0.00016213531,0.037460998],"study_design_scores_gemma":[0.0012344475,0.0001388613,0.95710355,0.00021741491,0.00012644097,9.997638e-7,0.000532346,0.00058526656,0.03584523,0.00008983094,0.0038352567,0.00029035812],"about_ca_topic_score_codex":0.00028036343,"about_ca_topic_score_gemma":0.00002426296,"teacher_disagreement_score":0.037170637,"about_ca_system_score_codex":0.000013359021,"about_ca_system_score_gemma":0.00001438017,"threshold_uncertainty_score":0.43600202},"labels":[],"label_agreement":null},{"id":"W2345715841","doi":"10.1108/pmm-03-2016-0007","title":"Capturing digital developments through qualitative inquiry","year":2016,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"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; Library and Archives Canada","funders":"","keywords":"Originality; Leverage (statistics); Context (archaeology); Narrative; Digital library; Computer science; Work (physics); World Wide Web; Best practice; Digital collections; Qualitative research; Data science; Knowledge management; Library science; Sociology; Political science; Engineering; Social science","score_opus":0.37523893229491595,"score_gpt":0.3892765577624661,"score_spread":0.014037625467550163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345715841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.191791,0.0007060184,0.7953852,0.0013534098,0.00047270098,0.00030297026,0.00000393726,0.0001241308,0.009860664],"genre_scores_gemma":[0.9830079,0.0024578779,0.013746611,0.00008915073,0.000046045614,0.000023545143,0.0000015115776,0.0000073933165,0.0006199433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975111,0.00007636808,0.00024447287,0.0004125464,0.0013624121,0.00039310835],"domain_scores_gemma":[0.9989098,0.00017904524,0.00012250207,0.00041731587,0.00027369775,0.00009765948],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0026371747,0.00014580169,0.00013080476,0.00030263205,0.00017767798,0.0011812553,0.000877374,0.00002908279,0.0000035753503],"category_scores_gemma":[0.0013988259,0.00009522288,0.000021690837,0.0008626074,0.00007372183,0.037175164,0.0007283953,0.000087165754,0.00006096089],"study_design_candidate":"design_other","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":[0.00004938625,0.00019758775,0.04378756,0.00023558793,0.00023269231,0.000014407526,0.01586928,0.0000028528718,0.00093681045,0.046696324,0.0019929959,0.8899845],"study_design_scores_gemma":[0.006093158,0.0009582517,0.14252748,0.0007850195,0.0000637617,0.000026118661,0.005209397,0.0015434748,0.031098537,0.004566656,0.8047398,0.0023883753],"about_ca_topic_score_codex":0.0000058419,"about_ca_topic_score_gemma":0.0000015206224,"teacher_disagreement_score":0.88759613,"about_ca_system_score_codex":0.00016221391,"about_ca_system_score_gemma":0.000075443044,"threshold_uncertainty_score":0.99985564},"labels":[],"label_agreement":null},{"id":"W2554252311","doi":"10.1108/pmm-07-2016-0034","title":"Publication rate of presentation abstracts presented at the Canadian Health Libraries Association (CHLA/ABSC) annual meetings from 2004-2009","year":2016,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":5,"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":"Altmetrics; Presentation (obstetrics); Publishing; Library science; Citation; Medical library; Scholarly communication; Value (mathematics); MEDLINE; Medicine; Medical education; Computer science; Political science","score_opus":0.14393990216815644,"score_gpt":0.38294208829642595,"score_spread":0.2390021861282695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554252311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317702,0.002255539,0.00008345347,0.060732577,0.00086369476,0.0013207607,0.00022648265,0.000033056105,0.0027142575],"genre_scores_gemma":[0.99297684,0.0016867858,0.00011093412,0.0009889987,0.00027032863,0.00009936916,0.00008497088,0.000008017712,0.0037737442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967363,0.00054005487,0.00067362696,0.00023774029,0.0011144417,0.0006978571],"domain_scores_gemma":[0.9963145,0.000706259,0.00072986935,0.0002176542,0.0015951284,0.00043656852],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009440953,0.00010602979,0.00016820412,0.00041024043,0.0015763333,0.000047214307,0.00019384846,0.00012999683,0.00019124681],"category_scores_gemma":[0.0057777613,0.00006393003,0.000022841277,0.0010318466,0.00007552174,0.00085722253,0.0000517718,0.00024406564,0.000089520276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054429842,0.000032577067,0.70782167,0.00012750961,0.000019206898,4.4011333e-8,0.0037758322,0.0000050029603,0.0003842189,0.000057483558,0.26303557,0.024686474],"study_design_scores_gemma":[0.00046172758,0.00007803335,0.8681021,0.000111375455,0.0000073689766,7.090559e-8,0.0006458305,0.00018198903,0.0008974659,0.000069535214,0.12937173,0.00007281323],"about_ca_topic_score_codex":0.1405325,"about_ca_topic_score_gemma":0.123271435,"teacher_disagreement_score":0.16028039,"about_ca_system_score_codex":0.0017586217,"about_ca_system_score_gemma":0.0034641218,"threshold_uncertainty_score":0.9997235},"labels":[],"label_agreement":null},{"id":"W2604547414","doi":"10.1108/pmm-07-2016-0031","title":"Constructing a sentiment analysis model for LibQUAL+ comments","year":2017,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Sentiment analysis; Originality; Terminology; Service (business); Set (abstract data type); Process (computing); Information retrieval; Data science; Operations research; World Wide Web; Artificial intelligence; Linguistics; Qualitative research; Sociology; Marketing; Mathematics","score_opus":0.14843098060347337,"score_gpt":0.31420248474130114,"score_spread":0.16577150413782776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604547414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12331696,0.00039421182,0.874027,0.00048042234,0.00027895602,0.00022645216,0.000003438255,0.000043079122,0.0012294749],"genre_scores_gemma":[0.94879615,0.00014519841,0.050634444,0.0001029635,0.00004412646,0.000025194748,0.0000048308843,0.0000062017625,0.000240869],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829036,0.00001815757,0.00031987036,0.00038178219,0.0006774857,0.00031232968],"domain_scores_gemma":[0.9985622,0.00003571472,0.000361738,0.0006506227,0.0002789259,0.000110811634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001685249,0.00016087365,0.00030750246,0.00054436974,0.0009439888,0.0006817491,0.0006450562,0.000041612937,0.000004023487],"category_scores_gemma":[0.0001300092,0.00014460857,0.00016673318,0.00052784616,0.000043597618,0.00067628734,0.00026195415,0.00007095558,0.000003064288],"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":[0.000014527651,0.00010159297,0.7109649,0.00005817558,0.0009683214,5.53127e-7,0.00050155434,0.0012628678,0.00014697893,0.0055391886,0.00046395118,0.27997735],"study_design_scores_gemma":[0.0006351784,0.00003679935,0.0093527315,0.000018346827,0.00034404208,5.1142473e-7,0.000045245888,0.9871823,0.0014945734,0.00007688352,0.00062466075,0.00018868515],"about_ca_topic_score_codex":0.0000074209383,"about_ca_topic_score_gemma":0.000008002889,"teacher_disagreement_score":0.9859195,"about_ca_system_score_codex":0.00008655807,"about_ca_system_score_gemma":0.00003671815,"threshold_uncertainty_score":0.72604936},"labels":[],"label_agreement":null},{"id":"W2620750768","doi":"10.1108/pmm-05-2017-0022","title":"How Canadian librarians practice and assess individualized research consultations in academic libraries","year":2017,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":10,"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 Ottawa","funders":"","keywords":"Demographics; Medical education; Service (business); Computer-assisted web interviewing; Order (exchange); Psychology; Medicine; Computer science; Sociology; Business","score_opus":0.6561178785739781,"score_gpt":0.5509471446353372,"score_spread":0.10517073393864085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620750768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9021971,0.0030303707,0.000042749343,0.06432454,0.0007226618,0.0013521912,0.000017870118,0.000022135795,0.028290378],"genre_scores_gemma":[0.9883286,0.008433491,0.0012872278,0.0005340984,0.00019482608,0.00019669207,0.0000073375163,0.000009382656,0.0010083691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967272,0.0006645361,0.0002944569,0.00027640682,0.0010915473,0.00094581116],"domain_scores_gemma":[0.99684286,0.001213298,0.0001739957,0.00028177994,0.0007950466,0.00069303147],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.013957295,0.00009800624,0.00016405321,0.0012187776,0.0046655578,0.00047737977,0.00036822443,0.0001911116,0.00002498387],"category_scores_gemma":[0.030513754,0.00008466533,0.000007854438,0.0010162379,0.00032341664,0.003094086,0.00014988976,0.0014134309,0.00001796299],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036131976,0.000022307673,0.95360893,0.00028177956,0.000007359903,0.0000018809204,0.007913931,3.3910612e-7,0.00004442235,0.0024486363,0.009531421,0.026102858],"study_design_scores_gemma":[0.00073547853,0.000074282645,0.7272913,0.00017737862,0.0000062283616,0.0000011818885,0.012387513,0.0005610766,0.000038621303,0.0002860375,0.25833592,0.00010500466],"about_ca_topic_score_codex":0.0254107,"about_ca_topic_score_gemma":0.026016984,"teacher_disagreement_score":0.24880451,"about_ca_system_score_codex":0.0003063926,"about_ca_system_score_gemma":0.0055783736,"threshold_uncertainty_score":0.99663025},"labels":[],"label_agreement":null},{"id":"W2887160804","doi":"10.1108/pmm-12-2017-0061","title":"How assessment websites of academic libraries convey information and show value","year":2018,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Library Science and Information Literacy","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":"Originality; Sample (material); Value (mathematics); Active listening; Alliance; Academic library; Higher education; Public relations; Library science; Sociology; Political science; Qualitative research; Computer science; Social science","score_opus":0.05482503358781615,"score_gpt":0.28791128637820285,"score_spread":0.2330862527903867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887160804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530391,0.0009952761,0.001595082,0.0031839355,0.00050765544,0.00036196221,0.0000076028596,0.00005963397,0.04024973],"genre_scores_gemma":[0.99486554,0.0023239446,0.0016942236,0.0006913327,0.00013211652,0.0000059777776,0.0000051261986,0.0000022612855,0.0002794888],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853086,0.000047800513,0.0002637515,0.00008679104,0.0008608754,0.00020991753],"domain_scores_gemma":[0.99920994,0.000050629427,0.00020380219,0.00008640517,0.00033722667,0.00011199844],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018204725,0.000087585104,0.00012832516,0.00034439555,0.00045981634,0.00037154957,0.00016862026,0.0000724746,0.00003340481],"category_scores_gemma":[0.00035473885,0.00007216898,0.000017585322,0.00085634325,0.0004566747,0.02272936,0.00006126247,0.00010860731,0.0000074486816],"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":[0.000029426414,0.000022391216,0.68678755,0.00020708967,0.000024617852,4.508278e-8,0.022438105,0.0000024911826,0.00032542416,0.11430886,0.0043337755,0.17152025],"study_design_scores_gemma":[0.00053178373,0.0003182101,0.203589,0.00008051848,0.00002242298,8.8895416e-7,0.0066473735,0.004788029,0.0055068526,0.00066982646,0.7775993,0.00024584396],"about_ca_topic_score_codex":0.00002712546,"about_ca_topic_score_gemma":0.0000016880102,"teacher_disagreement_score":0.7732655,"about_ca_system_score_codex":0.000034979174,"about_ca_system_score_gemma":0.00025309194,"threshold_uncertainty_score":0.9909392},"labels":[],"label_agreement":null},{"id":"W3107275649","doi":"10.1108/pmm-03-2020-0015","title":"Bibliometric analysis of a controversial paper on predatory publishing","year":2020,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Publishing; Originality; Impact factor; Analytics; Library science; Value (mathematics); Bibliometrics; History; Computer science; Sociology; Data science; Political science; Social science; Law","score_opus":0.6294773381878578,"score_gpt":0.47341826438102474,"score_spread":0.15605907380683304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107275649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98189193,0.003351779,0.0028955,0.0015048577,0.00034044814,0.00029688855,0.000067045796,0.000030588082,0.00962095],"genre_scores_gemma":[0.9972558,0.0013915206,0.0002497778,0.0009023843,0.000097284435,0.000006649465,0.000004655934,0.000009624084,0.00008231151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97941154,0.00018327766,0.00095396984,0.0007713326,0.018129708,0.00055014074],"domain_scores_gemma":[0.9904828,0.002204507,0.00050310977,0.0005538885,0.0055598468,0.0006958433],"candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.02761262,0.00020627944,0.0006955064,0.68086636,0.00020948934,0.0022831457,0.0015741407,0.0001405546,0.0004231246],"category_scores_gemma":[0.10433004,0.00014707472,0.00027542462,0.9309337,0.0001212053,0.0022805417,0.0004474924,0.00037343107,0.000040470768],"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":[0.00014483918,0.00013771871,0.6152971,0.000029509953,0.00035283345,0.0000019297563,0.00016542489,0.00037527937,0.0010403333,0.00025729023,0.008754454,0.37344334],"study_design_scores_gemma":[0.0011613481,0.0007390756,0.88159764,0.000008512865,0.00024154416,3.5089928e-7,0.00018768794,0.06220259,0.0016495746,0.000043234362,0.051935516,0.0002329218],"about_ca_topic_score_codex":0.000033225348,"about_ca_topic_score_gemma":0.000004566903,"teacher_disagreement_score":0.3732104,"about_ca_system_score_codex":0.00013928335,"about_ca_system_score_gemma":0.0001821282,"threshold_uncertainty_score":0.9987526},"labels":[],"label_agreement":null}]}