{"id":"W2128279850","doi":"10.1071/hp090601","title":"Regulatory axes on food advertising to children on television","year":2009,"lang":"en","type":"article","venue":"Australia and New Zealand Health Policy","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Advertising; Limiting; Variety (cybernetics); Centring; Product (mathematics); Population health; Unhealthy food; Marketing; Business; Population; Medicine; Environmental health; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001847109,0.0001283344,0.0001889883,0.0002611831,0.0003854178,0.00005980268,0.0001251151,0.0001226743,0.00002505755],"category_scores_gemma":[0.00008276806,0.0001132386,0.00003098266,0.0003172745,0.00004853567,0.00008904728,0.00001812902,0.0001317044,0.00006477833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205009,"about_ca_system_score_gemma":0.000300982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006712391,"about_ca_topic_score_gemma":0.001067808,"domain_scores_codex":[0.9987646,0.00003935436,0.0002033409,0.0002621899,0.0002252224,0.0005053036],"domain_scores_gemma":[0.9992666,0.00003536856,0.00006163793,0.0001450217,0.00001223861,0.0004791858],"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":[0.0000816107,0.00008196191,0.01657779,0.000005591784,0.00001076282,0.00000171612,0.004404355,0.000001854964,0.00001621412,0.3395969,0.2906229,0.3485983],"study_design_scores_gemma":[0.0004305637,0.001301201,0.7970421,0.00009543512,0.000001716729,0.000002711579,0.00004845767,9.38487e-8,0.000100364,0.01765027,0.1831705,0.0001565837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511487,0.00002996927,0.000001599694,0.1416868,0.00006805897,0.0002877931,0.000005880785,0.0001113202,0.006659858],"genre_scores_gemma":[0.9784442,0.0001408429,0.00008687505,0.01136133,0.0005210216,0.00000125965,0.000006264051,0.000006295661,0.009431883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7804643,"threshold_uncertainty_score":0.999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05587014314041537,"score_gpt":0.3871209850147496,"score_spread":0.3312508418743342,"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."}}