{"id":"W2527774321","doi":"10.1515/sem-2015-0132","title":"McLuhan’s war: Cartoons and decapitations","year":2016,"lang":"en","type":"article","venue":"Semiotica","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanity; Media studies; Sociology; History; Aesthetics; Literature; Epistemology; Art; Philosophy; Law; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003376667,0.0000395237,0.00005248599,0.00003551306,0.0004477426,0.00001901203,0.0001369786,0.00004735601,0.0002601457],"category_scores_gemma":[0.0009439275,0.00002992509,0.00001540249,0.00009638417,0.0002450616,0.0001289693,0.00001977272,0.00003720544,0.0001112131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004661711,"about_ca_system_score_gemma":0.0001832493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004974134,"about_ca_topic_score_gemma":0.003182109,"domain_scores_codex":[0.9994074,0.0001442818,0.00008968944,0.00009664056,0.0001053857,0.0001565755],"domain_scores_gemma":[0.9989885,0.000564587,0.00002779926,0.0002084766,0.00008338548,0.0001272469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005558035,0.0001320518,0.04393066,0.00001780186,0.00003056582,4.118429e-7,0.3423268,4.031879e-7,0.002668892,0.4763925,0.05861905,0.07587531],"study_design_scores_gemma":[0.000508116,0.00005229798,0.102555,0.0001377361,0.00006225137,0.000002199817,0.05342035,0.00004103999,0.0005278976,0.1074692,0.7348236,0.0004002676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684527,0.001800498,0.002172725,0.1419373,0.001308578,0.0003919982,0.00001328774,0.0002175305,0.1837053],"genre_scores_gemma":[0.9925297,0.002056874,0.001582848,0.0001831188,0.000200301,0.00001080809,0.000002714219,0.000004529344,0.003429139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6762046,"threshold_uncertainty_score":0.3443719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527434608754038,"score_gpt":0.3344468964305872,"score_spread":0.3091725503430468,"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."}}