{"id":"W4300970039","doi":"10.1108/978-1-80117-027-720221004","title":"Media Makes the Monster: Battered and Abused to Monstrous Killer","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Monster; Art; Criminology; Psychology; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004023527,0.0004838733,0.0006226909,0.003214383,0.01164434,0.006497821,0.001250467,0.002177133,0.008306229],"category_scores_gemma":[0.009040626,0.0004332838,0.0002547554,0.003777505,0.01196933,0.005843364,0.004737787,0.00307436,0.0008059903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0116542,"about_ca_system_score_gemma":0.01070123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05680815,"about_ca_topic_score_gemma":0.1317766,"domain_scores_codex":[0.9958186,0.002574027,0.0001762346,0.0001887807,0.0007326092,0.0005098689],"domain_scores_gemma":[0.9918889,0.005519748,0.0009897226,0.0001546987,0.001028341,0.0004185525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001581875,0.0000236899,0.001453415,0.0009127435,0.000006110269,0.001214645,0.9675739,0.0000115583,0.0001895292,0.01311764,0.006160417,0.009320648],"study_design_scores_gemma":[9.258205e-7,0.000007395725,0.001079169,0.0008654218,0.000003648863,0.000160752,0.9678333,0.000004979325,0.00006561088,0.0001824321,0.0297916,0.000004732131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7132194,0.07617499,0.000998015,0.0449529,0.001541491,0.0003243834,0.0006220491,0.00004181088,0.1621249],"genre_scores_gemma":[0.9070866,0.05898809,0.0004718964,0.005238132,0.0002440921,0.000229243,0.0001731107,0.00005363598,0.02751528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05680815,"threshold_uncertainty_score":0.112955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933279889010576,"score_gpt":0.2522548169512179,"score_spread":0.2329220180611121,"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."}}