{"id":"W2559024162","doi":"10.3899/jrheum.160621","title":"Stand Up and Be Counted: Measuring and Mapping the Rheumatology Workforce in Canada","year":2016,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; University of Alberta Hospital","funders":"Canadian Rheumatology Association","keywords":"Medicine; Workforce; Rheumatology; Population; Family medicine; Economic shortage; Internal medicine; Clinical Practice; Full-time; Demography; Physical therapy; Environmental health; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002011699,0.0003489922,0.0002914412,0.003846587,0.003117607,0.001477555,0.001665733,0.0005043271,0.001595201],"category_scores_gemma":[0.00775499,0.0002938675,0.0004176857,0.007453282,0.0007555528,0.0007759453,0.001728373,0.0006527198,0.000274684],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05421626,"about_ca_system_score_gemma":0.1094822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972975,"about_ca_topic_score_gemma":0.9984424,"domain_scores_codex":[0.9967005,0.0002659363,0.0001826877,0.0002451977,0.001654875,0.0009507646],"domain_scores_gemma":[0.991762,0.0005167836,0.001161369,0.0001025688,0.004524865,0.001932377],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004762387,0.00005245905,0.9575419,0.0003118793,0.00003932383,0.0001025301,0.004128865,0.0005952175,0.0002793487,0.0004949113,0.009578961,0.02682701],"study_design_scores_gemma":[0.000005924671,0.0000321248,0.9855488,0.0001804033,0.00001506256,0.00004768366,0.006065752,0.001240183,0.0001009874,0.00007812385,0.006667668,0.00001729795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624878,0.003516704,0.001342417,0.004556051,0.00006191275,0.0003447382,0.01623959,0.00005472449,0.01139604],"genre_scores_gemma":[0.9904237,0.001648777,0.001931501,0.0005819688,0.00001651347,0.0001027786,0.003398724,0.00001246308,0.001883557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979883,"threshold_uncertainty_score":0.3933684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217252411785847,"score_gpt":0.2388809101712946,"score_spread":0.2167083860534361,"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."}}