{"id":"W4238925263","doi":"10.1037/e510672013-001","title":"Canadian Conference on Counter-Terrorism and Public Health: An RCMP Perspective","year":2003,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Terrorism; Counter terrorism; Public health; Political science; Criminology; Sociology; Medicine; Law; Art; Nursing; Visual arts","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":[0.003190221,0.001786852,0.001813359,0.01229501,0.002148387,0.005232553,0.00471347,0.002135775,0.03841946],"category_scores_gemma":[0.01892742,0.000874169,0.001647798,0.04081047,0.0007992743,0.00161587,0.001941242,0.003483494,0.01474854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0297511,"about_ca_system_score_gemma":0.06055636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702574,"about_ca_topic_score_gemma":0.976953,"domain_scores_codex":[0.9974512,0.0002966252,0.0002012303,0.0002549258,0.001283508,0.0005125057],"domain_scores_gemma":[0.9862812,0.002667975,0.0009160388,0.002013022,0.006823441,0.001298401],"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":[0.00002473248,0.000007910042,0.001126305,0.0001793789,0.00002166212,0.000008790851,0.00001586781,0.0003991385,0.00000807596,0.001542962,0.9939331,0.002732008],"study_design_scores_gemma":[0.00008217033,0.000005559898,0.01812125,0.0004856256,0.00005632074,0.00002019831,0.0002126634,0.001156287,0.0001461946,0.001856294,0.9778185,0.00003906261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002186417,0.0003792273,0.00008050753,0.001347153,0.00008122899,0.00001807239,0.9948515,0.0001108308,0.002912771],"genre_scores_gemma":[0.003197163,0.00117525,0.0006343373,0.0003353621,0.00005232664,0.0001175603,0.989399,0.00006707272,0.005022042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03841946,"threshold_uncertainty_score":0.2158604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103434832365474,"score_gpt":0.517870081022534,"score_spread":0.3075265977859866,"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."}}