{"id":"W1937160778","doi":"10.18357/ijcyfs41201311821","title":"DEMOGRAPHIC TRENDS AND CRIME IN THE PROVINCE OF ALBERTA","year":2013,"lang":"en","type":"article","venue":"International Journal of Child Youth and Family Studies","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of Alberta","funders":"University of Alberta; Mount Royal University","keywords":"Demography; Property crime; Geography; Crime rate; Population; Fertility; Demographic economics; Violent crime; Criminology; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002724368,0.0002709339,0.0001488311,0.002161038,0.001219471,0.00116856,0.0008139765,0.0002186076,0.002172953],"category_scores_gemma":[0.00107661,0.0001594556,0.0003380005,0.003195581,0.0002868062,0.0002217965,0.0004018256,0.0003264638,0.000293377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02489279,"about_ca_system_score_gemma":0.02587006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978402,"about_ca_topic_score_gemma":0.9983763,"domain_scores_codex":[0.9997448,0.00001852462,0.000009310653,0.00002001462,0.0001336355,0.00007373503],"domain_scores_gemma":[0.9992519,0.00004452624,0.0000699763,0.00001457686,0.0005242342,0.00009483597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001771762,0.0000709169,0.8113127,0.0001853171,0.0001275809,0.0005845903,0.00187232,0.07599112,0.0006109924,0.005147296,0.03623269,0.06768725],"study_design_scores_gemma":[0.0000316762,0.00002936039,0.8920954,0.0002029183,0.0000634289,0.0002020784,0.005721213,0.05662315,0.0004106363,0.001125491,0.04341549,0.00007912381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256762,0.002163148,0.002257608,0.002432117,0.0000694615,0.00008062971,0.03376393,0.000246765,0.03331026],"genre_scores_gemma":[0.9783885,0.001947706,0.002053322,0.00009348195,0.00001227833,0.00002489126,0.009192454,0.00001676275,0.008270727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489279,"threshold_uncertainty_score":0.1806107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867051383916226,"score_gpt":0.3371000786646106,"score_spread":0.2984295648254483,"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."}}