{"id":"W2092312953","doi":"10.1016/j.jneb.2013.09.003","title":"A Content Analysis of Food References in Television Programming Specifically Targeting Viewing Audiences Aged 11 to 14 Years","year":2013,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Evening; Food group; Advertising; Serving size; Content analysis; Psychology; Food science; Medicine; Environmental health; Business; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009541902,0.0002125648,0.0003174504,0.007702897,0.0007356285,0.0008770127,0.0002880124,0.000398059,0.002652176],"category_scores_gemma":[0.00825852,0.0001918468,0.0004472455,0.006100305,0.0003451833,0.0006591505,0.0008747381,0.0003706349,0.0003333579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008159042,"about_ca_system_score_gemma":0.0009872355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172585,"about_ca_topic_score_gemma":0.01828189,"domain_scores_codex":[0.9991818,0.0002398641,0.0001422988,0.000115574,0.0002155447,0.0001048189],"domain_scores_gemma":[0.9910492,0.004597544,0.00128221,0.0001509812,0.002613307,0.0003067511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009489622,0.0004913331,0.8927391,0.000935482,0.0001700571,0.0003633839,0.03264937,0.0001246802,0.01097036,0.0003629996,0.001239381,0.05900482],"study_design_scores_gemma":[0.00000974865,0.0001783832,0.9801393,0.0001293992,0.0001470753,0.0001500347,0.01567186,0.0002308751,0.001353056,0.00004250153,0.00193492,0.0000130024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954639,0.0001361276,0.000241729,0.00004026569,0.00001363448,0.0001170808,0.001918799,0.000009171144,0.002059408],"genre_scores_gemma":[0.992079,0.000384306,0.001907276,0.00007930811,0.00003824629,0.0004507998,0.003295572,0.00002699069,0.001738559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172585,"threshold_uncertainty_score":0.02331519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242324895392113,"score_gpt":0.333814675501717,"score_spread":0.2095821859625057,"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."}}