{"id":"W1674091353","doi":"10.1002/jip.1395","title":"Linking Crimes Using Behavioural Clues: Current Levels of Linking Accuracy and Strategies for Moving Forward","year":2013,"lang":"en","type":"article","venue":"Journal of Investigative Psychology and Offender Profiling","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Context (archaeology); Psychology; Jurisdiction; Criminology; Applied psychology; Computer science; Political science; Law; Geography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3583324,0.001969179,0.004713478,0.01731697,0.002337737,0.01505284,0.01368965,0.004694596,0.006660452],"category_scores_gemma":[0.6454027,0.002546102,0.003800096,0.01757639,0.007213393,0.02670228,0.01062242,0.006361816,0.001918364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0039633,"about_ca_system_score_gemma":0.008675341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00942888,"about_ca_topic_score_gemma":0.007238261,"domain_scores_codex":[0.7628922,0.1726647,0.01991501,0.01416339,0.02867789,0.001686806],"domain_scores_gemma":[0.1665384,0.7091165,0.03847744,0.03254375,0.05173014,0.001593761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004066696,0.0002296023,0.08655579,0.02218255,0.002516903,0.00009852635,0.008425662,0.002157787,0.0001944974,0.02145351,0.01375438,0.8420241],"study_design_scores_gemma":[0.0004725689,0.001654878,0.1680474,0.219465,0.009787832,0.001425107,0.04374658,0.03062469,0.006460872,0.3153028,0.2015875,0.001424692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1113487,0.504971,0.1796353,0.1631158,0.00355021,0.00167255,0.003214548,0.00189266,0.03059923],"genre_scores_gemma":[0.5254211,0.1922869,0.2621984,0.00965902,0.001604526,0.002859518,0.002961235,0.0004310213,0.002578255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3583324,"threshold_uncertainty_score":0.7912905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2926188171747246,"score_gpt":0.4599799678659612,"score_spread":0.1673611506912366,"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."}}