{"id":"W2800813185","doi":"10.1016/j.joca.2018.02.008","title":"The OARSI white paper explained","year":2018,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"White paper; Osteoarthritis; Medicine; Drug development; Disease; Food and drug administration; Alternative medicine; Physical therapy; Drug; Political science; Risk analysis (engineering); Pathology; Pharmacology","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":[],"consensus_categories":[],"category_scores_codex":[0.01664135,0.001198058,0.001309478,0.003019808,0.002509099,0.00853653,0.002046946,0.0146011,0.04090256],"category_scores_gemma":[0.04795876,0.000762542,0.002682643,0.001670434,0.002875244,0.003405487,0.004265155,0.01345681,0.03927267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004211526,"about_ca_system_score_gemma":0.01433499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167595,"about_ca_topic_score_gemma":0.01412961,"domain_scores_codex":[0.9839494,0.002977449,0.00162378,0.0009520837,0.008487878,0.002009454],"domain_scores_gemma":[0.9778851,0.005721432,0.001653474,0.001681962,0.0106932,0.002364786],"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":[0.00004805298,0.00002039784,0.0001380801,0.0001121359,0.00001119349,0.00008307127,0.00004119305,0.000025858,0.0000999494,0.006989091,0.9785652,0.0138657],"study_design_scores_gemma":[0.00001917157,0.00001886848,0.0002265337,0.0002974414,0.00001121617,0.00008919006,0.00004467316,0.00001742086,0.0001711147,0.001697699,0.9973909,0.00001578517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0006369425,0.01861995,0.003406443,0.417253,0.4256572,0.0002699215,0.002276335,0.0003376443,0.1315425],"genre_scores_gemma":[0.007699821,0.02039642,0.00356422,0.4034417,0.1102186,0.0005042567,0.002527532,0.0007659813,0.4508815],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04090256,"threshold_uncertainty_score":0.1368327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007910488269636265,"score_gpt":0.2270024391871596,"score_spread":0.2190919509175234,"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."}}