{"id":"W4402413877","doi":"10.24095/hpcdp.44.9.08","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; Psychology; Data science; Public economics; Environmental planning; Political science; Environmental health; Medicine; Computer science; Geography; Economics","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":[0.1631965,0.002532236,0.006297862,0.008094545,0.008768227,0.0295499,0.01058146,0.0568222,0.2945588],"category_scores_gemma":[0.5415003,0.002632689,0.006980812,0.00916387,0.007470908,0.01754987,0.01451368,0.01983749,0.1408884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02980813,"about_ca_system_score_gemma":0.09875455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0406472,"about_ca_topic_score_gemma":0.05457662,"domain_scores_codex":[0.8797517,0.06171351,0.009982571,0.003696658,0.0390192,0.005836328],"domain_scores_gemma":[0.34579,0.4027488,0.02247796,0.02547894,0.1534029,0.05010137],"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":[0.00009320339,0.00002775838,0.00004571431,0.0008694768,0.00004325519,0.00001469038,0.00003027562,0.00003504379,0.00001334249,0.001661921,0.9901148,0.007050541],"study_design_scores_gemma":[0.002253573,0.0001430375,0.001171811,0.008126962,0.0002173253,0.00003633959,0.0002043353,0.0002523964,0.0001738025,0.02216572,0.9650994,0.0001553117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002818053,0.01905266,0.001225252,0.7427814,0.1564068,0.002993664,0.01626145,0.001201696,0.05979536],"genre_scores_gemma":[0.008539643,0.02429626,0.01161865,0.6318454,0.07684638,0.01508404,0.01833569,0.002122639,0.2113113],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9593528,"threshold_uncertainty_score":0.9853973,"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."}}