{"id":"W6912294635","doi":"10.5281/zenodo.3255754","title":"CONSEQUENCES OF REFFERALS FROM A SECONDARY HEALTH CARE CENTER","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referral; Quarter (Canadian coin); Health care; Work (physics); Diabetes mellitus; Secondary care","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":[],"consensus_categories":[],"category_scores_codex":[0.002276763,0.0002494103,0.0003707114,0.001102761,0.00390844,0.001149226,0.0009702334,0.0009946096,0.01119418],"category_scores_gemma":[0.01955957,0.0001787794,0.000601354,0.001139448,0.001015692,0.000758934,0.002061313,0.001641957,0.0007976848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002515571,"about_ca_system_score_gemma":0.002670873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009843455,"about_ca_topic_score_gemma":0.02068223,"domain_scores_codex":[0.9937553,0.002743706,0.0006418494,0.0003507793,0.0009312724,0.001577095],"domain_scores_gemma":[0.9804611,0.002637119,0.008436499,0.000856401,0.002564394,0.005044584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002766252,0.000501193,0.9438314,0.0001739364,0.00007388771,0.01443285,0.004021036,0.0001141771,0.0003865057,0.0008033222,0.009386359,0.02599875],"study_design_scores_gemma":[0.00005568886,0.0009744112,0.923703,0.0006239584,0.0001059348,0.02380429,0.03571434,0.0004500182,0.0007025275,0.0008577849,0.01294124,0.00006670767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836738,0.0008531626,0.000243216,0.006247723,0.0001700847,0.0000947492,0.0004234223,0.00003232607,0.008261514],"genre_scores_gemma":[0.9964379,0.0003365098,0.000171461,0.001283123,0.0001003328,0.00002384425,0.000182889,0.000006404215,0.001457497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119418,"threshold_uncertainty_score":0.03744823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873971484707067,"score_gpt":0.2512041241480952,"score_spread":0.2224644093010246,"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."}}