{"id":"W4230543260","doi":"10.29173/hsi265","title":"Food and beverage marketing: content not suitable for children","year":2018,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Food marketing; Food science; Marketing; Content (measure theory); Advertising; Mathematics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390427,0.000360462,0.0004692419,0.001198811,0.0006957806,0.002158001,0.0004366075,0.00115531,0.03530908],"category_scores_gemma":[0.005983891,0.0002125872,0.0003165489,0.001036126,0.0004991731,0.001438995,0.00100191,0.001335966,0.006984937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040219,"about_ca_system_score_gemma":0.00214383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184523,"about_ca_topic_score_gemma":0.005195428,"domain_scores_codex":[0.9993542,0.0001811843,0.00005238875,0.0000531539,0.0002743893,0.00008473217],"domain_scores_gemma":[0.9972816,0.001335906,0.0001946818,0.0001540245,0.0006677124,0.0003661231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005702225,0.001248711,0.01022757,0.004000644,0.00004240651,0.0004780123,0.005837683,0.0002541966,0.02115098,0.01641413,0.3098317,0.6299437],"study_design_scores_gemma":[0.00006472004,0.0004390428,0.04601466,0.003558293,0.0001075262,0.0004836491,0.00347329,0.0002523448,0.003782608,0.004475086,0.937315,0.0000337793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2366163,0.02324931,0.0198802,0.07812069,0.009936038,0.001894148,0.006954018,0.002388312,0.620961],"genre_scores_gemma":[0.5137786,0.03561962,0.05769921,0.03319617,0.005731717,0.002704218,0.00526456,0.0017686,0.3442374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03530908,"threshold_uncertainty_score":0.1181206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1267390788006882,"score_gpt":0.3162161015936996,"score_spread":0.1894770227930114,"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."}}