{"id":"W6941958899","doi":"10.1371/journal.pone.0279275.s007","title":"Differences in advertising expenditures on child-targeted products&lt;sup&gt;†&lt;/sup&gt; in Quebec between 2016 and 2019 by food category.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Television advertising; Consumption (sociology); Food products","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":[0.000485175,0.0004449929,0.0003959589,0.002102051,0.0008235168,0.000973081,0.001222446,0.0003312584,0.0575114],"category_scores_gemma":[0.002257855,0.0002362279,0.0008615953,0.005431351,0.0002644352,0.0007064497,0.0004284396,0.0009295496,0.003816736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01683487,"about_ca_system_score_gemma":0.01595875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922698,"about_ca_topic_score_gemma":0.9957637,"domain_scores_codex":[0.9994517,0.00004139947,0.00003844372,0.00008021358,0.0002120143,0.000176289],"domain_scores_gemma":[0.9979436,0.0001901408,0.0002910643,0.00004477399,0.001287792,0.000242622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003141456,0.00004560918,0.1363949,0.0008586686,0.000220181,0.0001421169,0.0004231431,0.0008122491,0.000317638,0.003713549,0.8071414,0.04961649],"study_design_scores_gemma":[0.00005854781,0.00002948743,0.8170483,0.0005367168,0.0001327497,0.00011202,0.001300876,0.001197014,0.0003597497,0.0002380949,0.1789349,0.00005148681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03906593,0.002653833,0.0003334792,0.002087383,0.0002479407,0.00009245696,0.917149,0.0002966265,0.03807338],"genre_scores_gemma":[0.4421853,0.006023192,0.002331497,0.001591981,0.0001275146,0.0002632677,0.4305038,0.0002511273,0.1167223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0575114,"threshold_uncertainty_score":0.1923948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070796015382316,"score_gpt":0.214009276144863,"score_spread":0.1933013159910398,"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."}}