{"id":"W4393339201","doi":"10.3138/cjccj-2023-0051","title":"Youth, Crime, and the Potential Cost Offset to Housing First Programs","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Calgary","funders":"","keywords":"Criminology; Offset (computer science); Psychology; Business; Computer security; Sociology; Forensic engineering; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001962702,0.0001736216,0.0003865302,0.001383131,0.001345232,0.001984401,0.0008074674,0.0009155658,0.005883612],"category_scores_gemma":[0.01934379,0.0001974042,0.0005711134,0.001573674,0.001215478,0.001024851,0.001856758,0.001560376,0.0001188167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004001808,"about_ca_system_score_gemma":0.00410028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06494825,"about_ca_topic_score_gemma":0.1532597,"domain_scores_codex":[0.9965162,0.001543877,0.0001101502,0.0001206233,0.0006290788,0.001080043],"domain_scores_gemma":[0.9897579,0.002723279,0.003885766,0.0002768529,0.0008861548,0.002469997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002597556,0.0009602037,0.8990231,0.0001585009,0.0002233007,0.0003363837,0.001138199,0.001178764,0.0000822705,0.01561996,0.005111808,0.07590784],"study_design_scores_gemma":[0.00002116072,0.0002846016,0.9897249,0.0002507704,0.00009434153,0.0001270589,0.002205531,0.001057646,0.0000763585,0.002269156,0.00387265,0.0000159297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695014,0.002358201,0.0004770832,0.01388754,0.0001446044,0.00007329473,0.0005670706,0.00001798899,0.01297281],"genre_scores_gemma":[0.9971982,0.0007927658,0.0002491406,0.0005833935,0.0001127764,0.00003029056,0.0001109174,0.000005390518,0.0009169586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9350517,"threshold_uncertainty_score":0.1291404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625269654338711,"score_gpt":0.3794283901128167,"score_spread":0.2169014246789456,"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."}}