{"id":"W2957616815","doi":"10.1002/msc.1408","title":"A multi‐centre study to explore the feasibility and acceptability of collecting data for complex regional pain syndrome clinical studies using a core measurement set: Study protocol","year":2019,"lang":"en","type":"article","venue":"Musculoskeletal Care","topic":"Pain Management and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish; Développement Economique Longueuil","funders":"","keywords":"Protocol (science); Data collection; Medicine; Test (biology); Set (abstract data type); Core (optical fiber); Electronic data capture; Medical physics; Physical therapy; Family medicine; Clinical trial; Alternative medicine; Computer science; Pathology","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":[0.006067277,0.0003077681,0.0008515792,0.00007115507,0.0002790721,0.00002575579,0.0003184796,0.00004074486,0.00003495047],"category_scores_gemma":[0.001621775,0.0001960333,0.0002003769,0.0002671343,0.0001322497,0.00008422478,0.0007902879,0.0001599023,0.000002165389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940898,"about_ca_system_score_gemma":0.0001261167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130489,"about_ca_topic_score_gemma":0.001117515,"domain_scores_codex":[0.9962098,0.0009502986,0.0007627188,0.000973171,0.0007951292,0.0003088722],"domain_scores_gemma":[0.9969099,0.000515342,0.0002283636,0.00152601,0.0006957499,0.0001247062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009037483,0.004522935,0.9761276,0.001816913,0.001133426,0.00001356655,0.01267083,0.000007191575,0.00002399891,6.577059e-7,0.0002237459,0.002555391],"study_design_scores_gemma":[0.009909345,0.004661895,0.7225701,0.0001136544,0.0005839851,0.000002143358,0.2608473,0.0009015557,6.933021e-7,0.000004697208,0.000256371,0.0001482599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794658,0.00008635111,0.00005332869,0.000167116,0.00005103501,0.2201005,0.00003565327,0.00003129609,0.000008884232],"genre_scores_gemma":[0.9818659,8.652568e-7,0.002068636,0.00008060335,0.00004670248,0.01584506,0.0000451212,0.00002675454,0.00002038762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535574,"threshold_uncertainty_score":0.7994006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6487129108352415,"score_gpt":0.5268824361893689,"score_spread":0.1218304746458726,"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."}}