{"id":"W4415693462","doi":"10.21203/rs.3.rs-7844247/v1","title":"A meta-model of low back pain to examine collective expert knowledge of the effects of treatments and their mechanisms","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Medical Research Council; National Institutes of Health; Vlaamse regering","keywords":"Low back pain; Foundation (evidence); Representation (politics); Knowledge acquisition; Expert system; Conceptual framework","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":[0.07695822,0.004257867,0.01428861,0.004662367,0.0009383677,0.004105675,0.005098162,0.006125431,0.01880809],"category_scores_gemma":[0.1376229,0.002232303,0.03545251,0.003656494,0.001469033,0.003775221,0.002977326,0.005995593,0.001250196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798142,"about_ca_system_score_gemma":0.003077656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263094,"about_ca_topic_score_gemma":0.007361759,"domain_scores_codex":[0.9191849,0.07137666,0.002735669,0.004424242,0.001395428,0.0008831468],"domain_scores_gemma":[0.7222456,0.2623957,0.005058235,0.007035672,0.00217879,0.001085999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01660122,0.0004215646,0.01374464,0.0193604,0.8994695,0.0004343997,0.0004744153,0.02620972,0.0005251652,0.006505713,0.00174888,0.01450439],"study_design_scores_gemma":[0.009856254,0.002229873,0.008778402,0.002382656,0.9111014,0.0003284097,0.0002369592,0.03593258,0.0003162816,0.02489249,0.003815843,0.0001288304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3228284,0.4601487,0.1676759,0.01662236,0.00500975,0.002979557,0.01300079,0.001359757,0.01037496],"genre_scores_gemma":[0.9388783,0.01967755,0.02957624,0.002639694,0.0008728693,0.002549021,0.002210332,0.0001358981,0.003460135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07695822,"threshold_uncertainty_score":0.4069989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06916793573611699,"score_gpt":0.3884342227384204,"score_spread":0.3192662870023034,"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."}}