{"id":"W938046130","doi":"","title":"Migratory and Transient Homelessness in Northern Ontario, Canada Pathways to Homelessness in Sudbury and Its Related Impacts","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Disadvantaged; Context (archaeology); Unemployment; Geography; Quarter (Canadian coin); Population; Indigenous; Demographic economics; Political science; Socioeconomics; Economic growth; Sociology; Demography","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":[0.0006537273,0.0002196022,0.0003257481,0.001288911,0.009042074,0.002289873,0.001004168,0.0003267132,0.003131179],"category_scores_gemma":[0.001784085,0.0002319937,0.0002551098,0.003430013,0.002492988,0.0007406729,0.003178811,0.0008296588,0.000113606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05249534,"about_ca_system_score_gemma":0.06887671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951951,"about_ca_topic_score_gemma":0.9987175,"domain_scores_codex":[0.9991768,0.00009518256,0.00002682119,0.0000584042,0.000170266,0.0004726224],"domain_scores_gemma":[0.9981871,0.0001124196,0.0003689808,0.00003212257,0.0004921621,0.000807152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001787308,0.00012948,0.7863165,0.0004869262,0.00005685764,0.003096017,0.1523757,0.000248028,0.0006293795,0.003430193,0.00865813,0.04439406],"study_design_scores_gemma":[0.000009547902,0.00004839054,0.8152978,0.0003653262,0.00001924124,0.0002747256,0.1720321,0.00008348858,0.00005031815,0.0002100008,0.01158506,0.00002401602],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863663,0.001917185,0.0000723689,0.002483924,0.00004460833,0.00007046485,0.0007227886,0.000006991298,0.008315516],"genre_scores_gemma":[0.994404,0.002189188,0.0001128363,0.0003210204,0.00001231433,0.00003408039,0.000237533,0.000004006924,0.002684952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05249534,"threshold_uncertainty_score":0.3808821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220830324529373,"score_gpt":0.2945951759665913,"score_spread":0.2723868727212976,"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."}}