{"id":"W6977018118","doi":"10.6084/m9.figshare.13185987","title":"Additional file 1 of A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT)","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Feminism, Gender, and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Ottawa Hospital; University of Ottawa; Institute for Clinical Evaluative Sciences; Statistics Canada; Public Health Ontario; University of Toronto","funders":"","keywords":"Protocol (science); Population; Population health; Risk assessment; Risk factor; Community health; Data collection; Health data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005648983,0.0009652812,0.001330646,0.00144928,0.00115298,0.00115871,0.001366505,0.0008745689,0.754021],"category_scores_gemma":[0.04621309,0.0007206255,0.001010768,0.002092557,0.0002649677,0.001021222,0.0008121634,0.001304254,0.09650808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118701,"about_ca_system_score_gemma":0.003348986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006628737,"about_ca_topic_score_gemma":0.01071698,"domain_scores_codex":[0.9985645,0.0006003666,0.0003097336,0.0002298086,0.0001858241,0.0001097192],"domain_scores_gemma":[0.9790618,0.01483476,0.001208135,0.001131549,0.003284511,0.0004793195],"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":[0.001294001,0.0003094078,0.002935068,0.002502123,0.00008460601,0.00003827169,0.0001535659,0.0004135965,0.00004831585,0.0008902801,0.9659124,0.0254184],"study_design_scores_gemma":[0.03682677,0.002518402,0.05670446,0.01389707,0.00113892,0.0007414306,0.001251842,0.008188454,0.001204867,0.02695799,0.8502106,0.0003592974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.00124425,0.00009304423,0.005141969,0.0003923037,0.0001286575,0.01924852,0.967879,0.0006351098,0.005237208],"genre_scores_gemma":[0.03221996,0.0004624929,0.04230994,0.002269226,0.0003317002,0.4278373,0.4629796,0.001714656,0.02987512],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.754021,"threshold_uncertainty_score":0.3508591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146253587849332,"score_gpt":0.4012075829285779,"score_spread":0.2865822241436447,"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."}}