{"id":"W404621577","doi":"","title":"広告規制と消費者教育 : カナダ・ケベック州における子どもの保護と商業宣伝の倫理","year":2015,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003863505,0.0002230984,0.0002224898,0.003443874,0.002754782,0.005945132,0.0006938087,0.0009622322,0.008263756],"category_scores_gemma":[0.006796946,0.0002956257,0.000202878,0.003485479,0.005449285,0.004469453,0.001205048,0.00123369,0.002338797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009336011,"about_ca_system_score_gemma":0.01409635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2129577,"about_ca_topic_score_gemma":0.4339529,"domain_scores_codex":[0.9978796,0.0003987158,0.0002044983,0.0002467736,0.001068379,0.0002021085],"domain_scores_gemma":[0.9917176,0.003172498,0.0008403006,0.0004697733,0.003312056,0.0004876648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002098391,0.0001422056,0.05772695,0.0008802081,0.00003235365,0.002064531,0.03267182,0.000772076,0.005021573,0.2682115,0.1197998,0.5124673],"study_design_scores_gemma":[0.00001757365,0.00006761251,0.06731156,0.0005767873,0.00005065377,0.002632324,0.02225083,0.0009946298,0.00869213,0.02615192,0.871146,0.0001079584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2288116,0.01711077,0.05893083,0.05291592,0.002401977,0.0003461785,0.003775027,0.00087604,0.6348317],"genre_scores_gemma":[0.7776619,0.01125766,0.05742558,0.006762237,0.000686564,0.0001793096,0.002197979,0.0002476177,0.1435812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870423,"threshold_uncertainty_score":0.4234364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669066038259999,"score_gpt":0.2465106284168369,"score_spread":0.219819968034237,"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."}}