{"id":"W2202273205","doi":"","title":"From Canada To Kenya: Ensuring Effective Health Messages Cross Borders and Cultures","year":2013,"lang":"en","type":"article","venue":"2013 National Conference on Health Communication, Marketing, and Media","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Political science; Computer science","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":[0.01808555,0.0005682035,0.0005839473,0.002372564,0.03267334,0.01248338,0.001839785,0.00396867,0.01253717],"category_scores_gemma":[0.05466092,0.0007893348,0.0003003619,0.002461963,0.007121331,0.008837116,0.00878938,0.006548875,0.001523006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05736261,"about_ca_system_score_gemma":0.3887636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.936236,"about_ca_topic_score_gemma":0.9607696,"domain_scores_codex":[0.9827221,0.006032099,0.0007365756,0.0009088457,0.003619857,0.005980672],"domain_scores_gemma":[0.9426254,0.01375565,0.003295859,0.001605811,0.0246843,0.01403308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003743353,0.0005313605,0.07898535,0.001420814,0.00008029718,0.002697335,0.231749,0.0007272183,0.006708032,0.06536653,0.1626658,0.448694],"study_design_scores_gemma":[0.000131061,0.0002292056,0.08513015,0.004879249,0.000168731,0.0006416371,0.3217982,0.000678619,0.004632961,0.01158634,0.5698484,0.0002754042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2911611,0.01135365,0.007697256,0.3881752,0.001897732,0.001979957,0.0006025207,0.0003290122,0.2968036],"genre_scores_gemma":[0.9198988,0.005367505,0.01345724,0.03743425,0.0001333749,0.0005433117,0.0001789483,0.0001350447,0.02285148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06376404,"threshold_uncertainty_score":0.4161968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411616062756485,"score_gpt":0.441533545838139,"score_spread":0.3974173852105741,"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."}}