{"id":"W4392662102","doi":"10.24095/hpcdp.44.3.06","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":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Natural experiment; Psychology; Data science; Environmental health; Medicine; Computer science; 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":[0.1719076,0.002850232,0.007107515,0.005996219,0.01170753,0.02569459,0.00988021,0.06491362,0.2728045],"category_scores_gemma":[0.5328365,0.002170665,0.005904468,0.008991834,0.008936405,0.01450211,0.01036353,0.02012325,0.08002312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02663421,"about_ca_system_score_gemma":0.08109256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07912787,"about_ca_topic_score_gemma":0.1431107,"domain_scores_codex":[0.9060287,0.06028561,0.006346615,0.003883539,0.01959806,0.003857426],"domain_scores_gemma":[0.2592098,0.5552774,0.01945481,0.02367351,0.1014929,0.04089154],"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":[0.0001344575,0.0000445301,0.00008114366,0.0006128008,0.00005510546,0.00002007435,0.00005105635,0.00002970342,0.00001609235,0.001866165,0.9920564,0.005032395],"study_design_scores_gemma":[0.007436296,0.0003563808,0.003787265,0.009361063,0.0006154886,0.00005212383,0.0009939244,0.0005247563,0.0002490458,0.05128303,0.9250664,0.0002742954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004664563,0.01559452,0.0007789422,0.8129978,0.1370908,0.001479438,0.006304879,0.0004231452,0.02486405],"genre_scores_gemma":[0.008787036,0.0110729,0.007071852,0.721351,0.06841348,0.01033011,0.005488251,0.000921386,0.1665639],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2728045,"threshold_uncertainty_score":0.912622,"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."}}