{"id":"W2807669261","doi":"10.1186/s13063-018-2692-6","title":"Optimizing treatment protocols for spinal manipulative therapy: study protocol for a randomized trial","year":2018,"lang":"en","type":"article","venue":"Trials","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Complementary and Integrative Health; National Center for Advancing Translational Sciences; National Center for Research Resources; National Institutes of Health; University of Utah","keywords":"Medicine; Randomized controlled trial; Physical therapy; Low back pain; Physical medicine and rehabilitation; Clinical trial; Context (archaeology); Spinal manipulation; Protocol (science); Manual therapy; Psychological intervention; Research design; Lumbar; Alternative medicine; Surgery","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":[0.008408017,0.0002504022,0.001829688,0.0001130289,0.0001610514,0.00004076551,0.00006332187,0.00009786362,0.0001432226],"category_scores_gemma":[0.004031555,0.0001341057,0.0009164145,0.00009462777,0.0001203446,0.00005945202,0.000008694186,0.000041051,0.000007220735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122434,"about_ca_system_score_gemma":0.0001839324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000019448,"about_ca_topic_score_gemma":0.000004928226,"domain_scores_codex":[0.9967262,0.001195552,0.001223029,0.0003846594,0.0002236399,0.0002469266],"domain_scores_gemma":[0.996478,0.002298992,0.0005092384,0.000303152,0.0003226442,0.00008792974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9795462,0.002534053,0.00001100143,0.0002750455,0.0005308351,2.851281e-7,0.001561132,0.000001154491,0.001683968,0.0002147713,0.0001942274,0.01344735],"study_design_scores_gemma":[0.8999901,0.08835419,0.00006102966,0.0002107985,0.0001940465,3.294158e-7,0.0002491983,0.0003033986,0.002233034,0.001014803,0.007254769,0.000134267],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008581907,0.000003418765,0.007095049,0.000324767,0.0001372955,0.9834546,0.000006131961,0.00007106944,0.0003256902],"genre_scores_gemma":[0.008924628,2.521782e-7,0.01321038,0.00006048513,0.002411946,0.9746675,0.000009495878,0.00003496233,0.0006802787],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08582014,"threshold_uncertainty_score":0.5468672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.336151774742231,"score_gpt":0.545270074478843,"score_spread":0.209118299736612,"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."}}