{"id":"W3016769992","doi":"10.1177/1057567720918640","title":"“Did Not Return in Time for Curfew”: A Descriptive Analysis of Homeless Missing Persons Cases","year":2020,"lang":"en","type":"article","venue":"International Criminal Justice Review","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Curfew; Missing data; Descriptive statistics; Population; Criminology; Scholarship; Psychology; Political science; Medicine; Sociology; Demography; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000651448,0.0001639404,0.001106306,0.000189346,0.0001560275,0.00001449955,0.0003625851,0.00009806814,0.0007358429],"category_scores_gemma":[0.002440114,0.0001482468,0.0003146052,0.0006134449,0.00005417551,0.0001406096,0.00008788993,0.0002894483,0.00004002538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767851,"about_ca_system_score_gemma":0.0001808616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000515957,"about_ca_topic_score_gemma":0.0004826381,"domain_scores_codex":[0.9979008,0.0003204724,0.0008171202,0.0002983196,0.0003906685,0.0002725561],"domain_scores_gemma":[0.9975364,0.001241404,0.000433,0.0001226662,0.0005336477,0.000132895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002608721,0.001177042,0.03262579,0.210637,0.005704144,0.0005175189,0.6025883,0.0001394319,0.004299169,0.02260044,0.004002282,0.1131002],"study_design_scores_gemma":[0.004131224,0.0008337303,0.0288696,0.06414885,0.08162821,0.000006006095,0.7105538,0.04020356,0.0005259105,0.0002631026,0.0668311,0.002004958],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361966,0.04326945,0.003309085,0.01024209,0.0007228818,0.002103811,0.001284499,0.00008064243,0.002790913],"genre_scores_gemma":[0.9868878,0.00982418,0.0007122916,0.001814133,0.0003086105,0.0001430867,0.0001369623,0.00002153733,0.0001513803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1464881,"threshold_uncertainty_score":0.8056964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035695079910164,"score_gpt":0.473650653788144,"score_spread":0.2700811457971276,"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."}}