{"id":"W4394604194","doi":"10.24095/hpcdp.44.4.05","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; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2132429,0.002496045,0.006476983,0.006528092,0.01017447,0.02252113,0.009748032,0.06255777,0.2112937],"category_scores_gemma":[0.5147703,0.002222663,0.005868058,0.007966298,0.007810148,0.01540316,0.01015986,0.01831081,0.06257679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02521488,"about_ca_system_score_gemma":0.08691037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05802072,"about_ca_topic_score_gemma":0.09923473,"domain_scores_codex":[0.8996407,0.06786175,0.007742458,0.003391111,0.01745848,0.003905452],"domain_scores_gemma":[0.2783664,0.5271823,0.01903088,0.02376279,0.1114367,0.04022086],"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":[0.000149209,0.00005218086,0.0001095877,0.0009185389,0.00005689624,0.00002747649,0.00006174214,0.00003699313,0.0000183084,0.002792955,0.9886667,0.007109494],"study_design_scores_gemma":[0.004919764,0.0002780478,0.003429313,0.01469946,0.0004563065,0.00004747904,0.0007819546,0.0003687154,0.000190298,0.03844197,0.9361835,0.0002032447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0004555369,0.01744173,0.0006835078,0.7793725,0.1620638,0.002129684,0.006851639,0.0003502642,0.0306513],"genre_scores_gemma":[0.007741145,0.01269381,0.008057627,0.7959047,0.05847258,0.01244953,0.004812514,0.0005179314,0.09935009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2132429,"threshold_uncertainty_score":0.9702116,"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."}}