{"id":"W6926756995","doi":"10.25384/sage.21076487","title":"Supplemental Material - Tailoring Strength Training Prescriptions for People with Rheumatoid Arthritis: A Scoping Review","year":2022,"lang":"en","type":"dataset","venue":"Sage Journals Data","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Research Canada","funders":"","keywords":"Medical prescription; Strength training; Training (meteorology); Alternative medicine; Exercise prescription","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003430409,0.001016844,0.001437451,0.005212325,0.000510895,0.002106859,0.001419746,0.001849809,0.3675213],"category_scores_gemma":[0.04025118,0.0006354725,0.002353174,0.006902279,0.0002269737,0.001170365,0.001696423,0.001111985,0.05389288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553044,"about_ca_system_score_gemma":0.004890186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007114332,"about_ca_topic_score_gemma":0.02605918,"domain_scores_codex":[0.9972172,0.0007271307,0.0009366749,0.0003459245,0.0006062884,0.0001668768],"domain_scores_gemma":[0.9706542,0.01883814,0.003634583,0.001240014,0.005053753,0.0005792691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000295796,0.00009321571,0.003219281,0.03388647,0.0003037917,0.00004618171,0.00005726463,0.0003734011,0.0001502574,0.0007728672,0.9428207,0.01798067],"study_design_scores_gemma":[0.002211979,0.0001558728,0.02279248,0.01940503,0.0007979489,0.0002150505,0.0001394429,0.0006254315,0.0004969688,0.003332837,0.9497453,0.00008162492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002208195,0.000348794,0.0002238041,0.0002206769,0.00004144013,0.0002453644,0.9976075,0.0001662518,0.000925361],"genre_scores_gemma":[0.0030417,0.0009168938,0.003959174,0.0008299751,0.00008806022,0.005449386,0.9815063,0.0001642545,0.004044165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3675213,"threshold_uncertainty_score":0.9021541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.160768268381568,"score_gpt":0.3787225551822698,"score_spread":0.2179542868007018,"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."}}