{"id":"W6904508815","doi":"10.1371/journal.pone.0190538.s001","title":"The economic benefits of reducing cardiovascular disease mortality in Quebec, Canada: Technical Appendix.","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; MEDLINE; Mortality rate; Population; Risk assessment","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":[0.003084592,0.000833438,0.0006177341,0.002348878,0.001240639,0.001735591,0.001711074,0.0008487247,0.2488278],"category_scores_gemma":[0.01794396,0.0004761715,0.001091604,0.005230105,0.0003187073,0.0007811598,0.0006519249,0.001127713,0.02872035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02666459,"about_ca_system_score_gemma":0.06787479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681024,"about_ca_topic_score_gemma":0.9767469,"domain_scores_codex":[0.9985581,0.0001667584,0.00008112739,0.00008071466,0.0008672784,0.0002459027],"domain_scores_gemma":[0.9886273,0.002021642,0.0002529871,0.000307024,0.00817058,0.0006204955],"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":[0.00001555531,0.00001183124,0.0009029919,0.0001438234,0.00001320086,0.00001943829,0.00002065721,0.0007488183,0.00002168254,0.002246754,0.9850404,0.01081476],"study_design_scores_gemma":[0.0002029167,0.00003335017,0.03177573,0.0007231443,0.00007683144,0.00008280542,0.0002555712,0.003204531,0.0003213631,0.004024848,0.9592161,0.00008292428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001625859,0.00167252,0.002601075,0.007378974,0.00150434,0.0006720094,0.8647716,0.0007292485,0.1190443],"genre_scores_gemma":[0.05887528,0.009718334,0.02424138,0.006292166,0.001043411,0.002903333,0.5018084,0.001503776,0.3936139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2488278,"threshold_uncertainty_score":0.832412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07227400280534314,"score_gpt":0.3779183916204313,"score_spread":0.3056443888150882,"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."}}