{"id":"W6921114216","doi":"10.6084/m9.figshare.7527956","title":"Additional file 1: of Facilitators and barriers of sociodemographic data collection in Canadian health care settings: a multisite case study evaluation","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Health care; Ask price; Public health; MEDLINE; Work (physics); Health services","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007474554,0.00067176,0.001039793,0.00422351,0.005072131,0.001851279,0.002726246,0.0007913222,0.4195616],"category_scores_gemma":[0.05390575,0.0007149619,0.001312628,0.007048031,0.000704109,0.002147061,0.001910124,0.001002032,0.01220935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920318,"about_ca_system_score_gemma":0.05561207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8685553,"about_ca_topic_score_gemma":0.9228176,"domain_scores_codex":[0.9975194,0.0005340183,0.0004115982,0.0002009171,0.0007655112,0.0005684255],"domain_scores_gemma":[0.9577222,0.02333252,0.001800951,0.001167738,0.01425687,0.001719707],"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":[0.0003970276,0.0004714256,0.0382029,0.005747449,0.00007014674,0.0002915265,0.006317035,0.0004044892,0.00007412111,0.0009357275,0.8992414,0.0478467],"study_design_scores_gemma":[0.00447003,0.0006900938,0.5454484,0.02251131,0.0005305654,0.0007256416,0.05776468,0.00275029,0.0008142788,0.002015714,0.3618427,0.0004363002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01697313,0.0002175501,0.0009475051,0.002158099,0.00008854071,0.01021314,0.95442,0.0002643471,0.0147177],"genre_scores_gemma":[0.3621556,0.002681294,0.03391432,0.003939437,0.0001730237,0.1456423,0.3894312,0.0005725578,0.06149024],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4195616,"threshold_uncertainty_score":0.8279249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138460709375481,"score_gpt":0.3018649510819531,"score_spread":0.2604803439881983,"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."}}