{"id":"W4409055761","doi":"10.1016/j.apmr.2025.01.154","title":"Measuring Progress: Developing a Core Outcome Set for Activity-based Therapy for People with a Spinal Cord Injury","year":2025,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Rehabilitation; Core (optical fiber); Spinal cord injury; Physical medicine and rehabilitation; Set (abstract data type); Spinal cord; Medicine; Outcome (game theory); Occupational therapy; Physical therapy; Psychology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01637085,0.001164364,0.001716339,0.00454423,0.001663355,0.002564476,0.001839751,0.001223664,0.001209393],"category_scores_gemma":[0.04216317,0.0004364296,0.00306461,0.002328693,0.0008144722,0.003632166,0.005178296,0.002159185,0.0005612589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232375,"about_ca_system_score_gemma":0.006506507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006486923,"about_ca_topic_score_gemma":0.0131028,"domain_scores_codex":[0.9909707,0.002616095,0.002393652,0.0005870394,0.002780077,0.0006525129],"domain_scores_gemma":[0.9797458,0.00805455,0.00343219,0.001369311,0.006271787,0.001126496],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008423434,0.001672572,0.6616598,0.001444866,0.0007948579,0.000107812,0.003473555,0.004384232,0.001801623,0.005277563,0.008632558,0.3099082],"study_design_scores_gemma":[0.0002053109,0.002304281,0.9380594,0.00144046,0.0008123973,0.0003064494,0.004208543,0.02212008,0.004660401,0.01151736,0.01421185,0.0001533726],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8419737,0.00147518,0.1091326,0.001997963,0.0003050095,0.01378151,0.01201275,0.0008688005,0.01845238],"genre_scores_gemma":[0.7850257,0.0006338539,0.1836064,0.000342247,0.00005498952,0.01479765,0.01395836,0.0001547153,0.001426077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9836292,"threshold_uncertainty_score":0.08657837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06235638983467781,"score_gpt":0.3923811906682353,"score_spread":0.3300248008335576,"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."}}