{"id":"W4399708753","doi":"10.1002/msc.1907","title":"An online training resource for clinicians to optimise exercise prescription for persistent low back pain: Design, development and usability testing","year":2024,"lang":"en","type":"article","venue":"Musculoskeletal Care","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Orthopaedic Research UK","keywords":"Usability; Medicine; Exercise prescription; Medical prescription; Resource (disambiguation); Physical therapy; Physical medicine and rehabilitation; Training (meteorology); Pain management; Human–computer interaction; Nursing; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00196135,0.000331449,0.0004732233,0.0001865454,0.0002739338,0.00009725174,0.0001113495,0.0001955851,0.00001702336],"category_scores_gemma":[0.001646311,0.0002861331,0.0004079634,0.0002818914,0.0001049184,0.0001608937,0.00003763156,0.0001902123,0.000005980943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801513,"about_ca_system_score_gemma":0.0002654695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001069783,"about_ca_topic_score_gemma":0.0000270674,"domain_scores_codex":[0.9975151,0.0001836834,0.0006230139,0.0009019855,0.0002952249,0.0004809299],"domain_scores_gemma":[0.9977787,0.0009582297,0.00006208971,0.0003700584,0.0004082293,0.0004227007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006565506,0.0003135314,0.0006295301,0.0285773,0.0001000755,0.000003143017,0.02245906,0.001598803,0.008841036,0.00001930954,0.0005992281,0.9362024],"study_design_scores_gemma":[0.01209845,0.04238048,0.09934554,0.02837097,0.001846042,0.0000370719,0.2199315,0.4698264,0.00257339,0.0003454815,0.1190664,0.004178271],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973727,0.001537677,0.09154208,0.001338895,0.000300919,0.007363155,0.0001027579,0.0003006286,0.0001411678],"genre_scores_gemma":[0.7310768,0.000005554074,0.2665371,0.0003754863,0.0003827105,0.0007128043,0.0005789966,0.00008102149,0.0002495141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9320242,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08774796826109242,"score_gpt":0.3364915839246068,"score_spread":0.2487436156635144,"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."}}