{"id":"W2016619308","doi":"10.1097/phm.0b013e31806e84d2","title":"Predicting Discharge of Trauma Survivors to Rehabilitation","year":2007,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Rehabilitation; Metropolitan area; Sampling frame; Population; Logistic regression; Abbreviated Injury Scale; Sampling (signal processing); Injury Severity Score; Physical therapy; Injury prevention; Emergency medicine; Poison control; Medical emergency; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001159037,0.0003062927,0.0003652262,0.001015579,0.0003022348,0.0006537666,0.0004255038,0.0004342079,0.001449589],"category_scores_gemma":[0.01296505,0.0001611888,0.0003598488,0.000707195,0.0001964606,0.0004280091,0.0006718993,0.0006028487,0.0003481758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156096,"about_ca_system_score_gemma":0.0006452451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215598,"about_ca_topic_score_gemma":0.01131443,"domain_scores_codex":[0.9994743,0.0002267847,0.0000604247,0.0000641101,0.00009700678,0.0000773491],"domain_scores_gemma":[0.9969482,0.0009443808,0.0008493321,0.0001131004,0.0007039217,0.0004410078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000462177,0.00003233098,0.9969382,0.000005461189,0.00001105851,0.00001716182,0.00002991758,0.0002877976,0.00002755354,0.000008228003,0.0001991912,0.002396876],"study_design_scores_gemma":[0.00001565578,0.0002045388,0.9863328,0.00003009774,0.00003337161,0.0001657918,0.0005696086,0.01208538,0.0001801147,0.0001055143,0.0002703507,0.000006816828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985949,0.00008856395,0.0005669004,0.0001454627,0.000007538446,0.00001817685,0.0002558163,0.00002235812,0.0003002965],"genre_scores_gemma":[0.9988305,0.00006057923,0.0003876683,0.00002506799,0.000006947751,0.00001309875,0.0005477676,0.000003177223,0.0001253156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215598,"threshold_uncertainty_score":0.02417046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009087027849391869,"score_gpt":0.3216007671433863,"score_spread":0.3125137392939945,"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."}}