{"meta":{"query_hash":"f249826f4b7d","filters":{"venue":"Open Access Medical Statistics"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/f249826f4b7d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Open+Access+Medical+Statistics"},"results":[{"id":"W2006070241","doi":"10.2147/oams.s33060","title":"Comparison of various modeling approaches in the analysis of longitudinal data with a binary outcome: The Ontario Mother and Infant Study (TOMIS) III","year":2012,"lang":"en","type":"article","venue":"Open Access Medical Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto; McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research","keywords":"Gee; Postpartum depression; Biostatistics; Generalized estimating equation; Longitudinal study; Multilevel model; Longitudinal data; Psychology; Statistics; Gerontology; Demography; Medicine; Mathematics; Public health; Sociology; Nursing","score_opus":0.5087971337204172,"score_gpt":0.5401671055933287,"score_spread":0.03136997187291146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006070241","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":[0.45867687,0.017746612,0.50389653,0.0061280318,0.0005852421,0.003961807,0.00519244,0.0007304191,0.0030821555],"genre_scores_gemma":[0.66743255,0.0060756216,0.31334502,0.0009771693,0.00018287604,0.0068768025,0.0037436301,0.00023725646,0.0011290691],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.91084737,0.082805,0.0016446859,0.0016767062,0.0024352882,0.00059096457],"domain_scores_gemma":[0.88682604,0.09958014,0.0050214157,0.0039768727,0.004002853,0.00059269293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11616658,0.0013629469,0.001566756,0.0026950059,0.0012350443,0.0017746767,0.0034256787,0.0011180653,0.0013261789],"category_scores_gemma":[0.123921834,0.000862008,0.007187589,0.0032203821,0.0007333499,0.00085432,0.0020154505,0.0016690562,0.00013636038],"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":[0.008076928,0.00064722664,0.5111484,0.0040718247,0.045653347,0.0010513011,0.0051512737,0.16737561,0.001324988,0.030681925,0.010921476,0.21389562],"study_design_scores_gemma":[0.0018896819,0.0023534757,0.24538848,0.0023890345,0.010629663,0.00048641136,0.0026358217,0.69212,0.0009987482,0.03007682,0.01054186,0.00048995105],"about_ca_topic_score_codex":0.12205273,"about_ca_topic_score_gemma":0.13583186,"teacher_disagreement_score":0.12205273,"about_ca_system_score_codex":0.004888673,"about_ca_system_score_gemma":0.006939607,"threshold_uncertainty_score":0.6143549},"labels":[],"label_agreement":null},{"id":"W2153815298","doi":"10.2147/oams.s30830","title":"Setting sample size using cost efficiency in fMRI studies","year":2012,"lang":"en","type":"article","venue":"Open Access Medical Statistics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Programs for Assessment of Technology in Health Research Institute; St. Joseph’s Healthcare Hamilton; Baycrest Hospital; Centre for Movement Disorders; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Sample (material); Sample size determination; Psychology; Computer science; Statistics; Mathematics; Chemistry; Chromatography","score_opus":0.8775548313592337,"score_gpt":0.6799007378283467,"score_spread":0.19765409353088703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153815298","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":[0.012923027,0.0031818687,0.96507394,0.003263727,0.00058949547,0.007899097,0.00032441906,0.00043946083,0.0063049053],"genre_scores_gemma":[0.19553654,0.0009109092,0.7770016,0.0019857509,0.00026734947,0.023196321,0.00016673998,0.0003159677,0.00061890617],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.53750503,0.41019154,0.019727565,0.007447601,0.023954045,0.0011742192],"domain_scores_gemma":[0.22921772,0.70919067,0.022465134,0.021412538,0.01671227,0.0010016366],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.34323716,0.002681154,0.0033177622,0.006460125,0.0012086768,0.0039205565,0.004255615,0.004027488,0.0038884233],"category_scores_gemma":[0.70575696,0.0013925266,0.003201185,0.0049077966,0.0048314566,0.004879822,0.005196038,0.0044409567,0.0009790186],"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":[0.0037935292,0.0005342435,0.035193212,0.008530412,0.0037291707,0.0008002529,0.004390747,0.048235763,0.0032432056,0.15288953,0.01638901,0.72227097],"study_design_scores_gemma":[0.004852197,0.0068084165,0.044154253,0.014098153,0.0045871823,0.0023339018,0.0017149582,0.21969908,0.033270527,0.56826055,0.09923063,0.0009901663],"about_ca_topic_score_codex":0.0010728474,"about_ca_topic_score_gemma":0.00087163475,"teacher_disagreement_score":0.65676284,"about_ca_system_score_codex":0.0049843458,"about_ca_system_score_gemma":0.0053904215,"threshold_uncertainty_score":0.8099055},"labels":[],"label_agreement":null},{"id":"W2583216732","doi":"10.2147/oams.s120426","title":"Optimal look back period and summary method for Elixhauser comorbidity measures in a US population-based electronic health record database","year":2017,"lang":"en","type":"article","venue":"Open Access Medical Statistics","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Institute for Health Information; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; University of Ottawa","keywords":"Period (music); Comorbidity; Electronic health record; Population; Database; Medicine; Data science; Computer science; Environmental health; Psychiatry; Health care; Economics","score_opus":0.12992837006530975,"score_gpt":0.49059215768725745,"score_spread":0.36066378762194773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583216732","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":[0.93781585,0.0020950956,0.050104063,0.0005096742,0.00005347045,0.00065363,0.0072464356,0.00035607436,0.0011656526],"genre_scores_gemma":[0.95768815,0.00031899224,0.038269583,0.00006539316,0.000045168483,0.00034495283,0.0031256354,0.000018761952,0.00012334823],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98444587,0.010935756,0.001643866,0.0013094561,0.0013973973,0.00026768658],"domain_scores_gemma":[0.9270965,0.05459097,0.011312742,0.0037768502,0.00260067,0.00062222924],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.026851682,0.00048797944,0.0012373899,0.0035072546,0.00023856762,0.0015255772,0.00088588597,0.00059201155,0.0012126549],"category_scores_gemma":[0.08839224,0.0003553812,0.0015807074,0.0026785617,0.00024898123,0.0015399937,0.00076970947,0.0007303384,0.00025402632],"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":[0.0035863991,0.00035458518,0.9151121,0.00036390865,0.0009959156,0.00011466871,0.0001816633,0.015412455,0.00026319618,0.0009109242,0.0020225893,0.060681537],"study_design_scores_gemma":[0.00055213645,0.0017196974,0.5121535,0.00027148353,0.0007782876,0.00071040995,0.00039935895,0.47893155,0.00094477297,0.00227142,0.0011548541,0.00011259281],"about_ca_topic_score_codex":0.003652945,"about_ca_topic_score_gemma":0.00286728,"teacher_disagreement_score":0.97314835,"about_ca_system_score_codex":0.00087340304,"about_ca_system_score_gemma":0.0011607717,"threshold_uncertainty_score":0.142007},"labels":[],"label_agreement":null}]}