{"id":"W21205037","doi":"10.1007/978-90-481-9063-8_71","title":"Analysis of Children's Television Characters and Media Policies","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Advertising; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001161771,0.0001499655,0.0004380444,0.0007227777,0.00008607395,0.00004764088,0.0001919045,0.0003389583,0.001411024],"category_scores_gemma":[0.00007190273,0.0001260146,0.0001318476,0.0001525469,0.0005199371,0.0001153619,0.0001104746,0.0001048917,0.00005451565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000260026,"about_ca_system_score_gemma":0.00005338941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007902996,"about_ca_topic_score_gemma":0.0008693445,"domain_scores_codex":[0.9990817,0.000006639034,0.0002454094,0.0002177465,0.0002886234,0.0001598645],"domain_scores_gemma":[0.999407,0.0001116998,0.0001760811,0.0001586761,0.00007063254,0.00007593492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001681945,0.000005967662,0.005458857,0.000002576143,0.0005018283,4.438514e-7,0.001202039,2.600828e-8,0.000002466364,0.9516378,0.001065555,0.04012075],"study_design_scores_gemma":[0.0004144876,0.00007408253,0.6617551,0.0001397269,0.001890945,0.000001425223,0.0008949956,0.000005294712,0.000081894,0.06920539,0.2641089,0.001427794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04686696,0.0002394255,0.000004329918,0.000741308,0.00005665703,0.0001645471,0.00002208744,0.00008853798,0.9518161],"genre_scores_gemma":[0.5229086,0.003170655,0.0001141258,0.000229608,0.0001066824,0.000002423207,0.0001208201,0.00001886842,0.4733283],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8824324,"threshold_uncertainty_score":0.9995018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497440952267416,"score_gpt":0.2483943959648437,"score_spread":0.2334199864421695,"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."}}