{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002944501,0.0003285439,0.0004142954,0.003877,0.001816973,0.001648566,0.001930153,0.0004280605,0.002673292],"category_scores_gemma":[0.01531278,0.0002991631,0.0009500477,0.01196491,0.001161058,0.0006555133,0.001721656,0.0009819036,0.0003222097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01218709,"about_ca_system_score_gemma":0.01870489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986977,"about_ca_topic_score_gemma":0.9897196,"domain_scores_codex":[0.9971749,0.0004540326,0.0002516985,0.0002914582,0.001190066,0.000637959],"domain_scores_gemma":[0.9847899,0.001966788,0.005640575,0.0008837458,0.005166959,0.001552032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003642873,0.00002053291,0.9911891,0.00009097612,0.0000883574,0.00002486774,0.0005402669,0.00009430916,0.00001747095,0.0001891581,0.002455556,0.005252994],"study_design_scores_gemma":[0.000002491421,0.000005959561,0.998226,0.00006807743,0.00002737887,0.000009739917,0.000646693,0.0001261235,0.00001436444,0.00002245133,0.0008454008,0.000005364201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411159,0.004613774,0.0003681708,0.002425318,0.00005294619,0.00008077658,0.04197152,0.00003136488,0.009340386],"genre_scores_gemma":[0.9871121,0.002577849,0.0002021948,0.0002494859,0.00002357489,0.00003492106,0.009113726,0.000009936188,0.0006762671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302296,"threshold_uncertainty_score":0.08842397,"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."}}