{"id":"W2419250362","doi":"10.24095/hpcdp.34.4.12","title":"Chronic Disease and Injury Indicator Framework: Quick Stats, Fall 2014 Edition","year":2014,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Forensic engineering; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006955471,0.001738295,0.00202061,0.01195355,0.001644107,0.002525352,0.003340477,0.001065514,0.02846088],"category_scores_gemma":[0.03486453,0.001400089,0.002396103,0.0378218,0.0008055112,0.00169849,0.002104102,0.002761452,0.01006678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0262719,"about_ca_system_score_gemma":0.08021086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9552314,"about_ca_topic_score_gemma":0.9575066,"domain_scores_codex":[0.9939079,0.0006780219,0.001070297,0.0003510937,0.003265339,0.0007272562],"domain_scores_gemma":[0.9613262,0.002421883,0.002036143,0.001203995,0.03183202,0.001179656],"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":[0.0001514488,0.00005018252,0.02586546,0.001195518,0.0001292531,0.0000187985,0.0001223176,0.001630633,0.00004777748,0.001855096,0.9479151,0.02101845],"study_design_scores_gemma":[0.0004415984,0.0001011287,0.4368386,0.002535696,0.0003065311,0.0001126437,0.0008842275,0.002735998,0.0003816471,0.003365187,0.5521258,0.0001710357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008069152,0.0004407004,0.001088118,0.0004038631,0.0001294724,0.0005070968,0.9927959,0.0004666329,0.003361321],"genre_scores_gemma":[0.01095268,0.001347986,0.009521597,0.0003528525,0.00009473623,0.001675417,0.9703282,0.0002832907,0.005443425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04476863,"threshold_uncertainty_score":0.1906168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907686996136965,"score_gpt":0.3735054098600255,"score_spread":0.3544285398986559,"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."}}