{"id":"W2124044466","doi":"10.1007/s10940-004-1785-4","title":"On the Complexity and Accuracy of Geographic Profiling Strategies","year":2005,"lang":"en","type":"article","venue":"Journal of Quantitative Criminology","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Memorial University of Newfoundland","funders":"Goddard Space Flight Center","keywords":"Profiling (computer programming); Computer science; Repertoire; Range (aeronautics); Data science; Crime analysis; Psychology; Criminology; Engineering","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":[0.1345481,0.001321571,0.002079888,0.006484612,0.002146092,0.01188571,0.004333962,0.005600415,0.004206572],"category_scores_gemma":[0.6974845,0.001646161,0.00159049,0.00521002,0.008487831,0.02321223,0.00737344,0.005779087,0.0009863029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330463,"about_ca_system_score_gemma":0.002991364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037798,"about_ca_topic_score_gemma":0.007655779,"domain_scores_codex":[0.8548867,0.1007035,0.007567738,0.01177534,0.02262925,0.00243755],"domain_scores_gemma":[0.1470134,0.7660736,0.01786602,0.05173616,0.01654996,0.0007607845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009562701,0.0002046459,0.287537,0.00110919,0.001989597,0.0003014702,0.009614312,0.08898295,0.001062845,0.2744521,0.01075306,0.3230366],"study_design_scores_gemma":[0.0001385492,0.0002424838,0.1016191,0.001162717,0.0007924591,0.00088671,0.00323504,0.3899904,0.002426151,0.4834295,0.0158078,0.000268956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4152963,0.009575726,0.4840719,0.03566558,0.0007937739,0.0004995734,0.003017198,0.0009359635,0.05014385],"genre_scores_gemma":[0.9522486,0.001203897,0.04364362,0.0006723366,0.0003423368,0.0001341799,0.0005356673,0.000145882,0.001073495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1345481,"threshold_uncertainty_score":0.7115667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.417195944965958,"score_gpt":0.4634909571657854,"score_spread":0.0462950121998274,"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."}}