{"id":"W1978812154","doi":"10.1016/j.jbmt.2009.02.001","title":"Range of normality versus range of motion: A functional measure for the prevention and management of low back injury","year":2009,"lang":"en","type":"article","venue":"Journal of Bodywork and Movement Therapies","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Institute for Occupational Safety and Health","keywords":"Normality; Range (aeronautics); Range of motion; Measure (data warehouse); Physical medicine and rehabilitation; Medicine; Physical therapy; Computer science; Data mining; Engineering; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008949021,0.00007224211,0.0002278376,0.00005988479,0.00003454768,0.00000392082,0.000030763,0.00003522834,0.00003961957],"category_scores_gemma":[0.00001791637,0.00004343757,0.0001557424,0.00006905108,0.0000806996,0.0000721144,0.00000784864,0.00005483647,6.087087e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001424084,"about_ca_system_score_gemma":0.00001444985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002211663,"about_ca_topic_score_gemma":0.000002198389,"domain_scores_codex":[0.9991425,0.00004935493,0.0004038571,0.00006171563,0.0002802499,0.00006226773],"domain_scores_gemma":[0.9992294,0.00009371514,0.0003490431,0.0000858302,0.000213363,0.00002869451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05799047,0.003810087,0.0759513,0.01596392,0.006294214,0.000002190151,0.006631248,0.0001659477,0.0648298,0.01323552,0.002851055,0.7522743],"study_design_scores_gemma":[0.007602197,0.003970805,0.9816071,0.001154462,0.0002796238,0.000001240112,0.001544077,0.0000507881,0.0009854446,0.002320649,0.0004243338,0.00005929397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834809,0.007921467,0.005486069,0.002091302,0.0001918357,0.0006409936,0.00000500825,0.000001969918,0.0001804351],"genre_scores_gemma":[0.9963917,0.002314355,0.0009886927,0.00007481391,0.0000896802,0.000004487538,0.000001579455,0.000003523817,0.0001312144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9056558,"threshold_uncertainty_score":0.1771333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095817152821299,"score_gpt":0.2823638678807936,"score_spread":0.2614056963525806,"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."}}