{"id":"W7043209901","doi":"","title":"Socioeconomic status and surgery utilization in Ontario Canada, New York USA, and New South Wales, Australia","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Epidemiology; Risk factor; Population; Cancer surgery","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":[0.0003807064,0.0002696369,0.0003689496,0.001797069,0.002013457,0.0009041836,0.0007715744,0.0004074362,0.003457397],"category_scores_gemma":[0.002153163,0.0003751045,0.0007276426,0.004652433,0.00047972,0.0005161581,0.0009458561,0.0005160683,0.0003624333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01408244,"about_ca_system_score_gemma":0.02035999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922643,"about_ca_topic_score_gemma":0.9966193,"domain_scores_codex":[0.9993095,0.0000623407,0.00008076401,0.00006518326,0.0002035589,0.0002786267],"domain_scores_gemma":[0.9973819,0.0001199366,0.0006234349,0.00006618603,0.0007936754,0.001014983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007283199,0.00004577075,0.9943777,0.00003559442,0.00008772054,0.00007681023,0.000800025,0.00004848626,0.00007911592,0.0001005445,0.002440054,0.001835395],"study_design_scores_gemma":[0.000005858882,0.000007070936,0.9987691,0.00001505019,0.00001268296,0.00001495913,0.0006665505,0.00004395176,0.000008291926,0.000007579253,0.0004450464,0.000003894216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987421,0.0006037854,0.00003573112,0.0005721404,0.00002216329,0.00005243142,0.007164224,0.000007844626,0.004120715],"genre_scores_gemma":[0.9930081,0.000529249,0.00008618833,0.0001825752,0.00001495251,0.00006100313,0.003084281,0.000006656813,0.003027017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408244,"threshold_uncertainty_score":0.1021757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06019396528435825,"score_gpt":0.255470794387998,"score_spread":0.1952768291036398,"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."}}