{"id":"W6960862036","doi":"10.1371/journal.pone.0227588.t003","title":"Hazard ratios from Cox proportional hazards models for readmission by 30 days after medical-surgical hospitalization for people in prison and people recently released from prison<sup>*</sup> compared with age-, sex-, case mix group-matched people in the general population in Ontario, Canada.","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proportional hazards model; Case mix index; Prison; Hazard; Population; Hazard ratio","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000198834,0.0004332974,0.0006867214,0.00003871614,0.0001902646,0.0001868613,0.0003333255,0.0004441547,0.008900754],"category_scores_gemma":[0.0004519783,0.0002136673,0.00007966891,0.0003750852,0.00001132067,0.0002591782,0.0001030334,0.000383211,0.000003716623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185113,"about_ca_system_score_gemma":0.0003703133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6849331,"about_ca_topic_score_gemma":0.995349,"domain_scores_codex":[0.9968347,0.0002095758,0.0008473325,0.000866805,0.000840356,0.0004012528],"domain_scores_gemma":[0.9985984,0.0004538929,0.000410678,0.0001663237,0.0001349185,0.0002357849],"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":[0.0004780302,0.0003209826,0.00715899,0.0001264854,0.00002240909,0.0001150338,0.001074351,0.0002045238,0.00005754173,0.000002184511,0.9899416,0.0004978748],"study_design_scores_gemma":[0.004810723,0.0006981106,0.3927017,0.001476227,0.00007840786,0.00002461864,0.001297373,0.06714132,0.00003252347,0.0001328677,0.5303681,0.001238065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3457394,0.00007262164,0.00001265457,0.00115368,0.00003553064,0.002210445,0.650758,0.00001557497,0.000002142847],"genre_scores_gemma":[0.2279054,0.00001733413,0.0001125862,0.0004651594,0.0001342427,0.001815662,0.7695068,0.000006417066,0.00003650432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4595735,"threshold_uncertainty_score":0.9920052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224871411778651,"score_gpt":0.2310741969485599,"score_spread":0.2088254828307734,"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."}}