{"id":"W1016766991","doi":"","title":"Homelessness in North Bay, Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University; Laurentian University","funders":"","keywords":"Bay; Geography; Oceanography; Political science; Archaeology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058856,0.0003175524,0.0004937351,0.001616514,0.01131023,0.002478182,0.00188651,0.0008360592,0.00895349],"category_scores_gemma":[0.002234437,0.0005096457,0.0004757336,0.004073446,0.00157884,0.0009178695,0.002365575,0.001417552,0.0006283458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09179025,"about_ca_system_score_gemma":0.1766242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990311,"about_ca_topic_score_gemma":0.999832,"domain_scores_codex":[0.9989533,0.00006984552,0.00005647267,0.00006397203,0.0002325151,0.0006238511],"domain_scores_gemma":[0.9963887,0.0001509096,0.0003623179,0.00005349839,0.001376037,0.001668643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002841118,0.0003481485,0.8110927,0.0007928141,0.0001067077,0.002093894,0.04918611,0.0004358044,0.0005712229,0.004280736,0.07048303,0.06032472],"study_design_scores_gemma":[0.00004638636,0.00006175998,0.9038574,0.0005106372,0.00003483497,0.0002424935,0.0720667,0.0002447944,0.00007644784,0.0001776445,0.02264502,0.00003588177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940083,0.004655377,0.0002002962,0.01329748,0.0002416038,0.0003480249,0.006875429,0.00005786819,0.03424086],"genre_scores_gemma":[0.9564936,0.004363717,0.0004148182,0.002104125,0.00005793465,0.0001451634,0.001654821,0.00002777175,0.03473799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09179025,"threshold_uncertainty_score":0.665988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969078137874163,"score_gpt":0.328278153818981,"score_spread":0.2985873724402394,"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."}}