{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002145514,0.0001037644,0.0001400923,0.0002129383,0.000992908,0.0004896314,0.0002149622,0.00003504911,0.0000293069],"category_scores_gemma":[0.0001950899,0.00009374917,0.00001759887,0.0008487784,0.0005810964,0.001859988,0.0001440806,0.00006159164,0.00001647527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003623227,"about_ca_system_score_gemma":0.0001410139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003207241,"about_ca_topic_score_gemma":0.00004755336,"domain_scores_codex":[0.9986374,0.000003386358,0.0002674898,0.0003510771,0.0002436903,0.0004968932],"domain_scores_gemma":[0.9990783,0.00002264823,0.0002197624,0.0001675089,0.0004885996,0.00002321648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000715928,0.0002667375,0.2782359,0.00175897,0.00002858812,8.748481e-7,0.0009337678,0.00001218803,0.004516975,0.4240511,0.05869254,0.2307864],"study_design_scores_gemma":[0.0005050183,0.0001245339,0.9870709,0.00006947165,0.000003462626,0.000003339529,0.0004892172,0.001663124,0.0001135862,0.0009707708,0.008812778,0.0001738298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905866,0.00006478417,0.00132899,0.005208014,0.001080628,0.0005160951,0.000002839551,0.00006899978,0.001143024],"genre_scores_gemma":[0.9885904,0.00001154704,0.000575312,0.008727377,0.002000129,0.00002312612,0.00001171423,0.00001054266,0.00004984686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7088349,"threshold_uncertainty_score":0.7636746,"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."}}