{"id":"W1912341824","doi":"10.3138/cjccj.2015.e22","title":"Hidden in the Shadows: The Impact of Temporary Worker Populations on Crime Rate Calculations","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Shadow (psychology); Operationalization; Census; Population; Crime rate; Criminology; Geography; Demography; Demographic economics; Sociology; Economics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02845509,0.0006427963,0.0008582494,0.002538587,0.002309685,0.005140613,0.002040928,0.0007033297,0.003460449],"category_scores_gemma":[0.225724,0.0005700386,0.001560515,0.00581833,0.003247792,0.002692216,0.004966944,0.001694849,0.0004679128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007635136,"about_ca_system_score_gemma":0.009134507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2751122,"about_ca_topic_score_gemma":0.3666913,"domain_scores_codex":[0.9425273,0.03878093,0.001960924,0.002590338,0.01250378,0.001636742],"domain_scores_gemma":[0.7533665,0.2086784,0.0150198,0.01142253,0.009854025,0.001658735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068749,0.0002549937,0.5199212,0.0006466534,0.0006642929,0.001148149,0.02336286,0.06224595,0.0006452003,0.03779883,0.007744785,0.3444984],"study_design_scores_gemma":[0.00008260239,0.0009127317,0.7173426,0.001349176,0.0006614008,0.001084367,0.05644713,0.1587631,0.002970815,0.03285621,0.02727165,0.0002582131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359077,0.002710088,0.1115434,0.005307031,0.0003743037,0.0005662331,0.001803721,0.0007277324,0.04105978],"genre_scores_gemma":[0.9674867,0.0005753804,0.0290335,0.0002643684,0.00004265762,0.0001101554,0.0003434186,0.0001508222,0.00199299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7248878,"threshold_uncertainty_score":0.5470216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2777673056296116,"score_gpt":0.4080432157508521,"score_spread":0.1302759101212405,"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."}}