{"id":"W7023947339","doi":"","title":"Representing the Reprehensible: Fairy Tales, News Stories & the Monstrous Karla Homolka","year":2006,"lang":"en","type":"article","venue":"Journals @ The Mount (Mount Saint Vincent University)","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Personality; Public discourse; Love story","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001422832,0.000347175,0.0002912806,0.0002372973,0.00306018,0.0009042692,0.004053455,0.0001048201,0.00002973843],"category_scores_gemma":[0.000203859,0.0001988664,0.0002989936,0.001592967,0.0004398728,0.0006775241,0.001469797,0.001217897,0.00008155961],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004310736,"about_ca_system_score_gemma":0.0002083718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04417492,"about_ca_topic_score_gemma":0.001131961,"domain_scores_codex":[0.9964243,0.0008244148,0.0005121903,0.0006629379,0.0009037119,0.0006724545],"domain_scores_gemma":[0.9955174,0.0009765227,0.0007530044,0.002328957,0.0003199779,0.000104158],"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":[0.00002400868,0.0001300235,0.01568651,0.000007861354,0.00009951123,0.0001017451,0.0008919477,0.03278214,0.001424321,0.9392708,0.002437737,0.007143398],"study_design_scores_gemma":[0.000523904,0.00004380111,0.09463459,0.00007601199,0.0001062323,0.0003016613,0.001899842,0.04941311,0.0001884048,0.004812266,0.8475717,0.0004285185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702203,0.001381614,0.1549947,0.06727862,0.0006802665,0.0009891401,0.00001430455,0.0004177101,0.004023295],"genre_scores_gemma":[0.9949697,0.0002249178,0.002389627,0.0006878576,0.0005229855,0.000006858795,0.00000437244,0.00002500019,0.001168728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9344586,"threshold_uncertainty_score":0.9995115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120248142420468,"score_gpt":0.2290302055415387,"score_spread":0.2170053912994919,"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."}}