{"id":"W3008453407","doi":"","title":"Use of decision tree analysis to determine optimal stratification groups to best identify true treatment effects in clinical research in traumatic spinal cord injury","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Decision tree; Spinal cord injury; Stratification (seeds); Intensive care medicine; Spinal cord; Data mining; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06060358,0.001023181,0.002540829,0.002620429,0.001012745,0.002254271,0.0009140813,0.001118715,0.001775773],"category_scores_gemma":[0.1269212,0.000500163,0.003072925,0.001419002,0.0006683223,0.001951914,0.001569261,0.002479817,0.0002306749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063393,"about_ca_system_score_gemma":0.003630951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778207,"about_ca_topic_score_gemma":0.002886422,"domain_scores_codex":[0.9388128,0.0536903,0.003284557,0.001539592,0.00206865,0.0006040837],"domain_scores_gemma":[0.8059664,0.1804155,0.004422666,0.0031587,0.004504119,0.00153263],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02859602,0.002609954,0.1802374,0.002797958,0.01293788,0.0005261757,0.002086815,0.08999328,0.004244668,0.01253476,0.007846203,0.6555889],"study_design_scores_gemma":[0.006045382,0.009247119,0.0588261,0.001258166,0.01246767,0.0004904594,0.0009313434,0.8055423,0.005233344,0.09377551,0.005962636,0.0002199416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4976366,0.0055465,0.4837737,0.004088982,0.0007439234,0.003073053,0.001653128,0.0006545858,0.002829551],"genre_scores_gemma":[0.8022558,0.0004799906,0.1944331,0.0005133259,0.0001235122,0.001168366,0.0007228499,0.00005587421,0.0002473236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9393964,"threshold_uncertainty_score":0.3205062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6979593772023645,"score_gpt":0.6227836662919456,"score_spread":0.07517571091041886,"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."}}