{"id":"W4391754301","doi":"10.24095/hpcdp.44.2.05","title":"Release notice: Suicide Surveillance Indicator Framework Quick Stats and Data Tool, cycles 3 and 4","year":2024,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Notice; Computer science; Computer security; Business; Data science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01990878,0.001317204,0.001365976,0.01092042,0.001729051,0.005483808,0.003946097,0.002551079,0.1450991],"category_scores_gemma":[0.1101711,0.002442326,0.001540691,0.01689177,0.0007975123,0.004139722,0.002930044,0.003438277,0.09220275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130353,"about_ca_system_score_gemma":0.04141672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5339596,"about_ca_topic_score_gemma":0.4312595,"domain_scores_codex":[0.9869972,0.001897724,0.002022088,0.000858655,0.006862833,0.001361495],"domain_scores_gemma":[0.8886427,0.01961615,0.004192763,0.009974217,0.07219735,0.005376857],"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":[0.00004234038,0.0000128087,0.0007670982,0.00006197012,0.000005062643,0.000007295199,0.00001662591,0.000105414,0.00001785153,0.0006263301,0.9903885,0.00794871],"study_design_scores_gemma":[0.0001702511,0.00002731382,0.01425721,0.0002145121,0.00001065842,0.00002547023,0.00008015974,0.00040921,0.0001589084,0.0008953098,0.9836884,0.0000626418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003954651,0.0001021446,0.002363005,0.002500488,0.001033872,0.001573547,0.9703397,0.004028174,0.01766358],"genre_scores_gemma":[0.002431469,0.0002834256,0.01232317,0.001758147,0.0003565506,0.003808017,0.9420869,0.002645358,0.034307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4660404,"threshold_uncertainty_score":0.9375701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189354647472036,"score_gpt":0.3397820048382035,"score_spread":0.3078884583634832,"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."}}