{"id":"W4402880085","doi":"10.1016/j.ebiom.2024.105365","title":"Empirical application of a multidimensional approach to capture a broader assessment of clinical benefits in a heterogenous spine population – author's reply","year":2024,"lang":"en","type":"letter","venue":"EBioMedicine","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Population; SPINE (molecular biology); Data science; Computer science; Medicine; Psychology; Bioinformatics; Biology; Environmental health","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":[0.01289308,0.0004512005,0.0009304442,0.0007610582,0.002460323,0.003114508,0.001342687,0.02028888,0.00541163],"category_scores_gemma":[0.1120959,0.0003785698,0.0006371484,0.001108871,0.002980374,0.003131092,0.001725584,0.01668975,0.002193474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264436,"about_ca_system_score_gemma":0.003122249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006427022,"about_ca_topic_score_gemma":0.01283606,"domain_scores_codex":[0.9936097,0.003612903,0.0008124119,0.0005492948,0.0009886433,0.0004270324],"domain_scores_gemma":[0.9083763,0.07498547,0.002375399,0.002236449,0.009984337,0.00204203],"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":[0.0001051562,0.00005474444,0.01226863,0.0001131717,0.0000580562,0.00104038,0.001630075,0.00009937045,0.0001007152,0.00711286,0.9636737,0.01374316],"study_design_scores_gemma":[0.0004403862,0.0002116976,0.04529871,0.00168965,0.0002062956,0.006908853,0.01931789,0.002827543,0.0005103695,0.06440371,0.8578346,0.0003503152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001630348,0.000349462,0.0001609442,0.9907849,0.00584645,0.000009047591,0.0001046655,0.000005104645,0.001109172],"genre_scores_gemma":[0.0218808,0.0005348471,0.0007899758,0.9647751,0.00927804,0.0001189193,0.0000556737,0.00001331263,0.002553284],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02028888,"threshold_uncertainty_score":0.06818593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08694577658715896,"score_gpt":0.4371772606054735,"score_spread":0.3502314840183145,"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."}}