{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008006946,0.0001726341,0.001024342,0.003969819,0.0005376835,0.0000836531,0.0004698155,0.0002774837,0.00008450709],"category_scores_gemma":[0.00971147,0.0001580123,0.0002862393,0.001259087,0.0001563111,0.0004272439,0.00004051389,0.000860708,0.00005783075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146182,"about_ca_system_score_gemma":0.003659985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1222586,"about_ca_topic_score_gemma":0.847772,"domain_scores_codex":[0.9936501,0.001734123,0.00302168,0.0003331941,0.0004885092,0.000772402],"domain_scores_gemma":[0.9895574,0.006536721,0.0008919165,0.0008159718,0.0007788952,0.001419138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002029,0.00008814337,0.6989645,0.00006952494,0.00004203358,0.0004453526,0.0009634916,0.0001853236,0.00005479127,0.00002953766,0.0002933024,0.2978619],"study_design_scores_gemma":[0.0001404879,0.001472198,0.9929217,0.002265269,0.00006271079,0.000004689078,0.001814607,0.0005997455,0.0001401787,0.0002656938,0.0001866736,0.0001261198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957916,0.00009430667,0.0003118931,0.001769338,0.001083564,0.0008935297,0.00003063312,0.000002209917,0.00002299818],"genre_scores_gemma":[0.9982951,0.00006873799,0.001145094,0.0001010919,0.0002524683,0.00005979469,0.000004452245,0.00002121646,0.00005204858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7255134,"threshold_uncertainty_score":0.9986302,"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."}}