{"id":"W4387901048","doi":"10.1093/eurpub/ckad160.462","title":"7.I. Skills building seminar: Applying behavioural sciences to public health policy-making","year":2023,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public relations; Health policy; Public health; Behavior change; Context (archaeology); Population health; Political science; Public policy; Health promotion; Set (abstract data type); Psychology; Medicine; Social psychology; Computer science; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01617962,0.002119166,0.00116587,0.0008520046,0.003029792,0.008151826,0.003261491,0.01010647,0.06865533],"category_scores_gemma":[0.01363094,0.000692783,0.002450819,0.0005221223,0.002731259,0.004075675,0.009077613,0.01523185,0.04596184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004809324,"about_ca_system_score_gemma":0.007616058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871819,"about_ca_topic_score_gemma":0.001799532,"domain_scores_codex":[0.9956256,0.002239133,0.0001676933,0.0004109466,0.0004970139,0.001059538],"domain_scores_gemma":[0.9855952,0.004827157,0.0004635541,0.0003661815,0.00257612,0.006171768],"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":[0.0002922234,0.00127939,0.0003644477,0.0008772658,0.00002059635,0.0005674566,0.006131979,0.0009645039,0.00302743,0.01214112,0.9204108,0.05392279],"study_design_scores_gemma":[0.0002002764,0.0006128166,0.002480753,0.002204481,0.00001909276,0.0003092219,0.008905921,0.001279154,0.001426725,0.022807,0.9596385,0.0001162157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01771329,0.006328259,0.02997157,0.5686162,0.132466,0.005950794,0.002050065,0.001746646,0.2351572],"genre_scores_gemma":[0.1530087,0.01493339,0.04666185,0.2418289,0.0653043,0.01440172,0.003216816,0.001404828,0.4592395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06865533,"threshold_uncertainty_score":0.229675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2634957853778864,"score_gpt":0.5261549840500545,"score_spread":0.2626591986721681,"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."}}