{"id":"W4399737258","doi":"10.24095/hpcdp.44.6.11","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; Geography; Computer science","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":[0.1710082,0.002557255,0.006340775,0.008316187,0.008931085,0.02970184,0.01084906,0.05869259,0.2877187],"category_scores_gemma":[0.5461361,0.002691038,0.007273822,0.009350884,0.007648824,0.01758703,0.01475253,0.01999637,0.1344638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03098745,"about_ca_system_score_gemma":0.1035646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04419342,"about_ca_topic_score_gemma":0.06020343,"domain_scores_codex":[0.872337,0.06530632,0.01057432,0.003835059,0.04182823,0.00611903],"domain_scores_gemma":[0.3408657,0.4034552,0.02272973,0.0258613,0.1559942,0.05109379],"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":[0.00009793304,0.00003007701,0.00004919013,0.0009342835,0.00004796805,0.00001537387,0.00003296107,0.00003727783,0.00001414336,0.001772236,0.9896148,0.007353656],"study_design_scores_gemma":[0.002295652,0.0001483027,0.00121193,0.008372436,0.0002321442,0.00003588821,0.000209714,0.0002510223,0.0001780631,0.02203954,0.9648663,0.0001589009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002892896,0.01975242,0.00123433,0.7438051,0.1562012,0.003018461,0.01615744,0.001172223,0.05836962],"genre_scores_gemma":[0.008548361,0.02412589,0.011813,0.6443861,0.07434783,0.01470116,0.01810867,0.002028293,0.2019408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9558066,"threshold_uncertainty_score":0.962515,"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."}}