{"id":"W2409133873","doi":"10.1055/s-0035-1567838","title":"Article Commentary: The Practical Application of Clinical Prediction Rules: A Commentary Using Case Examples in Surgical Patients with Degenerative Cervical Myelopathy","year":2015,"lang":"en","type":"article","venue":"Global Spine Journal","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Disability Prevention and Rehabilitation; Ontario Tech University; University of Toronto","funders":"AOSpine","keywords":"Medicine; Myelopathy; Clinical prediction rule; Outcome (game theory); Disease; Health care; Physical therapy; Intensive care medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02026165,0.001416513,0.001752674,0.002239186,0.003456301,0.003571693,0.006350231,0.03810369,0.004318397],"category_scores_gemma":[0.1965002,0.001013404,0.002115002,0.001949531,0.006350697,0.006319528,0.002282507,0.03101934,0.003052623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009171862,"about_ca_system_score_gemma":0.01219548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400031,"about_ca_topic_score_gemma":0.01448712,"domain_scores_codex":[0.9749152,0.01464743,0.0038542,0.001589033,0.004318554,0.0006756344],"domain_scores_gemma":[0.7857925,0.1711027,0.005647503,0.001804335,0.03313143,0.002521563],"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":[0.00008063723,0.00001436669,0.0002397458,0.001105284,0.00003790652,0.00123732,0.0006893374,0.0001449071,0.0000963887,0.002438496,0.9849851,0.008930538],"study_design_scores_gemma":[0.0002033943,0.00008450594,0.0005763439,0.01044424,0.0001378449,0.005036679,0.002279887,0.0006590358,0.0004209438,0.01273845,0.9672499,0.0001688734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003242362,0.006153395,0.0003964163,0.9379007,0.05376421,0.00007242247,0.0001014956,0.00002653773,0.001260623],"genre_scores_gemma":[0.005825599,0.00523991,0.0009779056,0.912402,0.07409243,0.0002045142,0.00004171487,0.00003434908,0.001181553],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03810369,"threshold_uncertainty_score":0.1071551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636363721824353,"score_gpt":0.3820969275840497,"score_spread":0.3184605554016144,"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."}}