{"id":"W4417068996","doi":"10.48550/arxiv.2503.23259","title":"Labor Market Impact on Homelessness: Evidence from Canadian Administrative Data on Shelter Usage","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Affect (linguistics); Psychological intervention; Proxy (statistics); Unemployment rate; Indigenous; Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001194919,0.0007833454,0.001591141,0.0003333087,0.001008919,0.00009934017,0.00239356,0.001320161,0.006695514],"category_scores_gemma":[0.001299953,0.0006498579,0.0001851996,0.0003657457,0.0001361384,0.000284619,0.001511307,0.003411458,0.001353369],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126528,"about_ca_system_score_gemma":0.007438372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5800375,"about_ca_topic_score_gemma":0.8139376,"domain_scores_codex":[0.9939653,0.001772895,0.0009031895,0.001646827,0.0005323155,0.001179523],"domain_scores_gemma":[0.9918594,0.003239915,0.0005192019,0.003291121,0.000357644,0.0007327436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003175173,0.0001068481,0.9710904,0.0004374044,0.0003175133,0.0001472435,0.01818616,0.00001198621,0.000006764511,0.0001316871,0.007447944,0.00179851],"study_design_scores_gemma":[0.0003730129,0.000121486,0.9674696,0.007081907,0.0001270805,2.533755e-8,0.01619269,0.00009932694,0.00003582097,0.0003539405,0.00749326,0.0006518606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535396,0.0009277348,0.000009511186,0.002038206,0.002964595,0.001561492,0.02332416,0.000140755,0.015494],"genre_scores_gemma":[0.9882032,0.001446911,0.00005093352,0.001290405,0.001480181,0.0003579423,0.002416863,0.00007405174,0.004679514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2339001,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2210293804731305,"score_gpt":0.4862800828460335,"score_spread":0.265250702372903,"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."}}