{"id":"W4401512075","doi":"10.24095/hpcdp.44.7/8.08","title":"Call for papers: Generating stronger evidence to inform policy and practice: natural experiments on built environments, health behaviours and chronic diseases","year":2024,"lang":"en","type":"paratext","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Natural experiment; Data science; Psychology; Computer science; Environmental health; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1532863,0.002463411,0.005954859,0.007950937,0.008935281,0.02818454,0.01049451,0.05683161,0.293702],"category_scores_gemma":[0.5224963,0.002500732,0.00694467,0.009040681,0.007239752,0.01729463,0.01382142,0.01941712,0.1528864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02688422,"about_ca_system_score_gemma":0.09173111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03768064,"about_ca_topic_score_gemma":0.05084343,"domain_scores_codex":[0.8873469,0.05580746,0.009537789,0.003606505,0.03826711,0.005434277],"domain_scores_gemma":[0.3647267,0.3827673,0.02220158,0.02554376,0.1552542,0.04950638],"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":[0.00007031059,0.00002389621,0.00003780776,0.0006889722,0.00003246142,0.00001275862,0.00002440475,0.00002578629,0.00001188809,0.001368501,0.9917096,0.005993623],"study_design_scores_gemma":[0.001892922,0.0001207622,0.001049143,0.006749132,0.0001757246,0.00003552889,0.0001912613,0.0002046439,0.0001599411,0.0189095,0.9703752,0.0001362861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002581849,0.01781435,0.001062591,0.7416733,0.1598264,0.002624538,0.0142732,0.001136281,0.06133121],"genre_scores_gemma":[0.00671041,0.02149763,0.01006732,0.6338529,0.07388759,0.01298226,0.01604204,0.001911371,0.2230485],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9623194,"threshold_uncertainty_score":0.9825312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09242184442529594,"score_gpt":0.5008011864118699,"score_spread":0.4083793419865739,"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."}}