{"id":"W4229880166","doi":"10.32920/ryerson.14662305","title":"On serial killers: the collective's search for understanding","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Crime and Detective Fiction Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Serial communication; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007534012,0.001181025,0.0007239746,0.003709712,0.01271833,0.01506662,0.002219825,0.005149933,0.00791043],"category_scores_gemma":[0.0104957,0.0003933468,0.0006526834,0.002701025,0.06950679,0.03739655,0.009401508,0.008651095,0.0008433979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007225051,"about_ca_system_score_gemma":0.003213639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007894278,"about_ca_topic_score_gemma":0.007018382,"domain_scores_codex":[0.9946383,0.003523137,0.00009890186,0.0005399951,0.0007323873,0.0004672963],"domain_scores_gemma":[0.9936916,0.003909362,0.0006655368,0.0008150565,0.0005028773,0.0004156528],"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":[0.000008713787,0.000007640721,0.0002062524,0.00003694965,0.000002321192,0.0001351746,0.1147772,0.00009581881,0.00004439742,0.8756312,0.005695091,0.003359277],"study_design_scores_gemma":[0.00001054032,0.00002411631,0.0004961143,0.0003756584,0.000007142595,0.0002351587,0.1467792,0.0007040673,0.0001099231,0.6462655,0.2049689,0.00002373327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.127355,0.01632049,0.03809363,0.1638093,0.002859593,0.00009182246,0.0001147672,0.0002426816,0.6511127],"genre_scores_gemma":[0.9501001,0.00402181,0.00301203,0.006672422,0.001618791,0.0001122712,0.00006611698,0.000229147,0.0341672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01506662,"threshold_uncertainty_score":0.05242169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2854054917164626,"score_gpt":0.3282109046116125,"score_spread":0.04280541289514994,"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."}}