{"id":"W4403200501","doi":"10.24095/hpcdp.44.10.05","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.1513968,0.002584431,0.005847362,0.005477503,0.01051498,0.02329861,0.008174836,0.06334639,0.3085631],"category_scores_gemma":[0.4313872,0.002014583,0.005628792,0.007368724,0.007890484,0.01357998,0.01097583,0.01851404,0.1041347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0204742,"about_ca_system_score_gemma":0.06530922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05973294,"about_ca_topic_score_gemma":0.1238415,"domain_scores_codex":[0.9165854,0.05120869,0.006441523,0.00365082,0.01790337,0.004210118],"domain_scores_gemma":[0.3526523,0.4723215,0.01995838,0.02163434,0.09051773,0.04291577],"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":[0.00008595659,0.00003634307,0.00006073569,0.0004575574,0.00003298535,0.00001612646,0.00004151483,0.00002076065,0.00001602066,0.001587605,0.9930534,0.004590971],"study_design_scores_gemma":[0.006166893,0.0003713248,0.004192255,0.007584257,0.0004393133,0.00006776285,0.0008843389,0.0004644231,0.0002559246,0.04741968,0.9318985,0.0002554913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004333911,0.01267361,0.0008612619,0.7792249,0.1634337,0.001893936,0.008823999,0.0005696662,0.03208555],"genre_scores_gemma":[0.005110693,0.006320169,0.006351107,0.7413891,0.06302059,0.01000508,0.00426945,0.0007224477,0.1628113],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3085631,"threshold_uncertainty_score":0.9862508,"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."}}