{"id":"W3215975402","doi":"10.1097/brs.0000000000004299","title":"Calculating Ex-ante Utilities From the Modified Japanese Orthopedic Association Score: A Prerequisite for Quantifying the Value of Care for Cervical Myelopathy.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Multinomial logistic regression; Minimal clinically important difference; Confidence interval; Logistic regression; Population; Regression analysis; Physical therapy; Statistics; Econometrics; Internal medicine; Randomized controlled trial; Mathematics","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":[0.01457758,0.0005213455,0.0005374323,0.001372946,0.0001853611,0.0008170495,0.0005338368,0.0005075362,0.002379941],"category_scores_gemma":[0.04673555,0.0002116846,0.0008264041,0.001527616,0.000398571,0.0009164822,0.0007180725,0.0008698219,0.0003476285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005061916,"about_ca_system_score_gemma":0.0008182052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958976,"about_ca_topic_score_gemma":0.003049491,"domain_scores_codex":[0.9928599,0.005608992,0.0003399421,0.0002538968,0.0008532975,0.00008398236],"domain_scores_gemma":[0.9902756,0.006215624,0.001771311,0.0008016578,0.0007500903,0.0001856814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0021386,0.0007844263,0.6433606,0.0009364871,0.001051184,0.0001838129,0.000984787,0.008589662,0.00197436,0.004895731,0.004865236,0.330235],"study_design_scores_gemma":[0.0003187683,0.004567308,0.9186786,0.0004310523,0.0005757203,0.0009486385,0.001066806,0.05356931,0.001970986,0.009378946,0.008360357,0.0001334723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.844344,0.00416262,0.1352114,0.000766052,0.0001406065,0.002961518,0.004467906,0.0001096541,0.007836339],"genre_scores_gemma":[0.9439403,0.0006496388,0.05180835,0.0001363134,0.00003947994,0.001755066,0.00100898,0.00001695728,0.0006449387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457758,"threshold_uncertainty_score":0.07709455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05721010663003222,"score_gpt":0.2840359446740996,"score_spread":0.2268258380440674,"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."}}