{"id":"W2081663611","doi":"10.1109/eisic.2012.18","title":"How Many Ways Do Offenders Travel -- Evaluating the Activity Paths of Offenders","year":2012,"lang":"en","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cluster analysis; Aggregate (composite); Directionality; Preference; Path (computing); Computer science; Psychology; Artificial intelligence; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001436859,0.00007959662,0.0001140286,0.00003480947,0.0003855336,0.0000776232,0.0002177321,0.00005365522,0.001977129],"category_scores_gemma":[0.0001707312,0.00005347947,0.0001848054,0.0001301547,0.0002178756,0.0003560874,0.0000442142,0.000108607,0.00001567816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519743,"about_ca_system_score_gemma":0.00004245112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253729,"about_ca_topic_score_gemma":0.0007831382,"domain_scores_codex":[0.998809,0.0002222233,0.0001206383,0.0001149195,0.0004119332,0.0003213042],"domain_scores_gemma":[0.999404,0.0001590321,0.0001073045,0.0001866956,0.00006331153,0.00007970407],"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":[0.00007368346,0.001209674,0.0537268,0.0001115434,0.0003073853,7.768706e-7,0.1455425,0.00001016313,0.03460825,0.4384015,0.0233316,0.3026762],"study_design_scores_gemma":[0.001413521,0.0007346192,0.3346626,0.0001377921,0.000285665,0.00000342537,0.6208809,0.001981734,0.01721392,0.006050522,0.01580804,0.0008272801],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371634,0.0001278086,0.02082637,0.00399741,0.000597686,0.0003032159,0.00000947445,0.00003372023,0.1369409],"genre_scores_gemma":[0.9956864,0.00001432263,0.0001759405,0.0000661863,0.0001621061,0.00001191414,7.186823e-7,0.000006796368,0.003875586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4753384,"threshold_uncertainty_score":0.9989352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2638745686950947,"score_gpt":0.4134082229580044,"score_spread":0.1495336542629097,"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."}}