{"id":"W2757778070","doi":"10.3899/jrheum.170421","title":"Development of a Canadian Core Clinical Dataset to Support High-quality Care for Canadian Patients with Rheumatoid Arthritis","year":2017,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; William Osler Health System; Research Canada; Arthritis Research Centre of Canada; South Health Campus; Canadian Arthritis Patient Alliance; University of Toronto; Alberta Bone and Joint Health Institute; Stantec (Canada); Hôpital Maisonneuve-Rosemont; Krembil Foundation; University of Calgary; University of British Columbia","funders":"","keywords":"Medicine; Family medicine; Delphi method; Likert scale; Rheumatoid arthritis; Physical therapy; Documentation; Health care; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.05876218,0.0009490855,0.001209677,0.009973377,0.005569909,0.005296252,0.005293221,0.001459655,0.007374833],"category_scores_gemma":[0.1326254,0.0007795655,0.002039186,0.0128523,0.001120091,0.002115023,0.005793069,0.00259941,0.001714411],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08337301,"about_ca_system_score_gemma":0.2877889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8339487,"about_ca_topic_score_gemma":0.8931332,"domain_scores_codex":[0.9618111,0.01221717,0.007147565,0.002753897,0.0133251,0.002745109],"domain_scores_gemma":[0.7708036,0.02694726,0.01358485,0.01650985,0.1564607,0.01569371],"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":[0.0008563322,0.0005194056,0.1141889,0.009218972,0.0005382047,0.0004877869,0.009423424,0.006823107,0.001798542,0.01796915,0.5711363,0.2670398],"study_design_scores_gemma":[0.0007394686,0.0003161094,0.2611364,0.01144209,0.0004804638,0.0002554937,0.009037924,0.0107605,0.001917473,0.004037691,0.6994562,0.0004201277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1120631,0.006361804,0.1180347,0.04122321,0.002295296,0.08346692,0.5403778,0.003087969,0.09308928],"genre_scores_gemma":[0.1932204,0.002171793,0.4482187,0.004547892,0.0002596854,0.04575555,0.3006184,0.0003913455,0.004816254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.916627,"threshold_uncertainty_score":0.6049163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05896319221818348,"score_gpt":0.3584431933782079,"score_spread":0.2994800011600244,"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."}}