{"id":"W4401278735","doi":"10.1177/0032258x241269482","title":"“Baggage in the business”: The investigative challenges of serial homicide","year":2024,"lang":"en","type":"article","venue":"The Police Journal Theory Practice and Principles","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Certainty; Relevance (law); Nexus (standard); Homicide; Inference; Psychology; Criminology; Engineering ethics; Computer science; Poison control; Political science; Human factors and ergonomics; Engineering; Medicine; Epistemology; Law; Artificial intelligence; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01073921,0.00008640176,0.0001064505,0.0000605518,0.0007043532,0.0003499268,0.0004815958,0.00004156963,0.0001494017],"category_scores_gemma":[0.001568814,0.00003820852,0.00007512204,0.0002586517,0.0007124888,0.0005571991,0.00008116986,0.0005211981,0.00001202791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002567785,"about_ca_system_score_gemma":0.0001593121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003516318,"about_ca_topic_score_gemma":0.00543328,"domain_scores_codex":[0.996262,0.002948832,0.0002610409,0.00009315376,0.0002520116,0.000182941],"domain_scores_gemma":[0.9957532,0.003742689,0.0001968082,0.0001719398,0.00009591856,0.00003949607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004769301,0.00003552113,0.00003495565,0.0000188508,0.00004990149,0.000005169331,0.2400198,0.00001525008,0.0001567899,0.7544285,0.0003079608,0.004879587],"study_design_scores_gemma":[0.0001676315,0.00007682266,0.01285732,0.0003367738,0.0001881031,0.0002280285,0.5140409,0.00003169274,0.0001622516,0.1414133,0.3303829,0.0001142963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7328398,0.01019889,0.00004922477,0.1823102,0.0004504024,0.0002379624,0.000009025328,0.00001511224,0.07388935],"genre_scores_gemma":[0.9846108,0.01295794,0.0000361643,0.0009544102,0.0009171592,0.00000866175,2.49849e-7,0.000008135019,0.0005064678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6130152,"threshold_uncertainty_score":0.5417387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482405964110253,"score_gpt":0.4042701765531518,"score_spread":0.2560295801421265,"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."}}