{"id":"W2150929884","doi":"10.2522/ptj.20120263","title":"What Characterizes People Who Have an Unclear Classification Using a Treatment-Based Classification Algorithm for Low Back Pain? A Cross-Sectional Study","year":2012,"lang":"en","type":"article","venue":"Physical Therapy","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Cross-sectional study; Algorithm; Computer science; Medicine; Artificial intelligence; Physical medicine and rehabilitation; Machine learning; Physical therapy; Psychology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445276,0.0002372202,0.0003682654,0.00008625349,0.0002080026,0.0001391411,0.0000655508,0.00009814195,0.00004965223],"category_scores_gemma":[0.00004258921,0.0001777559,0.0002637162,0.0001694966,0.00009107877,0.0007502741,0.000004922291,0.00009828234,0.00002632901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611755,"about_ca_system_score_gemma":0.00006942894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003946069,"about_ca_topic_score_gemma":0.000003492982,"domain_scores_codex":[0.9983159,0.0003539634,0.0003066271,0.0004012195,0.000316522,0.0003057901],"domain_scores_gemma":[0.9987209,0.0003317423,0.0001584126,0.0003795406,0.0002202362,0.0001891334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001162311,0.01781138,0.4240986,0.0001938577,0.0002271797,1.788582e-7,0.006503014,0.00002320951,0.3144661,0.0001269473,0.00001313448,0.235374],"study_design_scores_gemma":[0.003004791,0.002442094,0.7278558,0.00003383675,0.00002056201,3.588763e-7,0.001321264,0.2640838,0.0009064093,0.00006081451,0.0001250321,0.0001452154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858852,0.00004212985,0.01100048,0.0002529621,0.0002360648,0.002482047,0.00001708178,0.00006681999,0.00001721477],"genre_scores_gemma":[0.9957123,0.00002767704,0.001597122,0.0002119685,0.001397137,0.0004443214,0.0003971439,0.00005089346,0.0001614059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3135597,"threshold_uncertainty_score":0.7248676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0886085051372409,"score_gpt":0.3888207792127832,"score_spread":0.3002122740755423,"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."}}