{"id":"W6923080970","doi":"10.1371/journal.pmed.1004187.s008","title":"Characteristics of all non–physicians in Ontario on March 10, 2020 and random sample of non–physicians taken on March 10, 2020.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Sample size determination; Population; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002695619,0.0003273882,0.0003371008,0.0009597359,0.001174252,0.0003180853,0.001007415,0.0005595538,0.009026892],"category_scores_gemma":[0.002143229,0.0003614644,0.0004727222,0.002396474,0.0003462742,0.0002853201,0.0004123085,0.0005560044,0.001820823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006707646,"about_ca_system_score_gemma":0.009764769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9287669,"about_ca_topic_score_gemma":0.9579877,"domain_scores_codex":[0.9993857,0.00004011285,0.00004741663,0.00007619182,0.0002412497,0.0002092471],"domain_scores_gemma":[0.9976401,0.00009965283,0.0006507505,0.00008772126,0.0007497342,0.0007720027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001662005,0.0003237494,0.6708069,0.0004002185,0.0001709613,0.0005508718,0.0009351224,0.0007086379,0.00110624,0.0003515866,0.3131827,0.009801023],"study_design_scores_gemma":[0.000131134,0.00006941776,0.9893967,0.00005212177,0.00001482805,0.00007709124,0.0005186246,0.000192676,0.00005976263,0.00002999333,0.009445292,0.00001236312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5082375,0.001723752,0.0004104302,0.002881816,0.0002154887,0.001389192,0.4581187,0.000118033,0.02690506],"genre_scores_gemma":[0.7891374,0.001351635,0.0006376361,0.002346169,0.0001191881,0.001480257,0.1613123,0.00004637302,0.0435691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07123309,"threshold_uncertainty_score":0.1433051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834198713377307,"score_gpt":0.2895458479167227,"score_spread":0.2412038607829496,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}