{"id":"W7106646418","doi":"10.26188/30702626.v1","title":"Summary of Infant and Formula Ads in the ADM+S Australian Ad Observatory, 2022 and 2025","year":2025,"lang":"","type":"report","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Toddler; Infant formula; Australian population; Social marketing; Breastfeeding","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":[0.0034733,0.0003988424,0.0003860859,0.004416266,0.001283812,0.00144509,0.0005621901,0.0004868857,0.01678075],"category_scores_gemma":[0.0133487,0.0004492441,0.0006994442,0.005865936,0.0002197519,0.001029245,0.001368159,0.0008434749,0.004446258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455301,"about_ca_system_score_gemma":0.002362437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1437424,"about_ca_topic_score_gemma":0.1900704,"domain_scores_codex":[0.9975001,0.0004670075,0.0004866387,0.0001961387,0.001112438,0.0002376728],"domain_scores_gemma":[0.9845155,0.003444354,0.003740721,0.000426799,0.006965525,0.0009070507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001718251,0.0004024681,0.4550261,0.009027772,0.000363169,0.0004232745,0.01070807,0.0002325053,0.001485252,0.0006686944,0.3573729,0.1625715],"study_design_scores_gemma":[0.00001739932,0.000133879,0.9381048,0.0004338463,0.00006352748,0.0001067697,0.003293926,0.00007531207,0.0002538335,0.00006006641,0.05743023,0.00002641412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3082401,0.005258616,0.0006553837,0.002312831,0.0006359219,0.001356023,0.6197814,0.0003364559,0.06142337],"genre_scores_gemma":[0.50664,0.0110812,0.003893309,0.003302839,0.0006517287,0.00429414,0.3702996,0.0003472563,0.09948994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1437424,"threshold_uncertainty_score":0.2858115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09715525885750344,"score_gpt":0.3664863023960226,"score_spread":0.2693310435385192,"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."}}