{"id":"W4229972822","doi":"10.1097/01.jaa.0000459428.01004.e0","title":"Commentaries on health services research","year":2015,"lang":"en","type":"article","venue":"JAAPA","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Data science; Psychology; Computer science; Cognitive science; Management science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05905354,0.001965094,0.003614739,0.005265608,0.009645338,0.009598481,0.01026378,0.06665242,0.1442218],"category_scores_gemma":[0.2646106,0.001677865,0.005154999,0.0114079,0.005279406,0.007418605,0.007094054,0.04431434,0.06301425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01783919,"about_ca_system_score_gemma":0.02779886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03751995,"about_ca_topic_score_gemma":0.02817792,"domain_scores_codex":[0.9341511,0.01831362,0.01006988,0.005570338,0.02523675,0.006658304],"domain_scores_gemma":[0.6968139,0.1838173,0.01047519,0.01899298,0.07877006,0.01113055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001415063,0.000005675167,0.00004552171,0.0001616035,0.000007831842,0.00002318706,0.00004094425,0.000006401814,0.00001083365,0.0009032437,0.997029,0.001751673],"study_design_scores_gemma":[0.00007987346,0.00001861617,0.0007421845,0.001622397,0.00003203617,0.00002875395,0.00029885,0.00004992455,0.00008366165,0.001664639,0.9953316,0.00004744601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00008619907,0.002378335,0.0001183301,0.8560727,0.1264106,0.0002002811,0.001499437,0.0001193927,0.01311462],"genre_scores_gemma":[0.001258417,0.001674355,0.0001885255,0.9468115,0.03715568,0.0005404251,0.0003407044,0.00007323706,0.01195706],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1442218,"threshold_uncertainty_score":0.48247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3439747350236931,"score_gpt":0.595397459469708,"score_spread":0.2514227244460149,"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."}}