{"id":"W4239646804","doi":"10.32920/ryerson.14648013.v1","title":"Second Units: Means Of Socio-Economic Integration Of New Immigrants In Mississauga","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Abbotsford Veterinary Clinic","funders":"","keywords":"Affordable housing; Immigration; Subsidy; Settlement (finance); Context (archaeology); Government (linguistics); Socioeconomic status; Economic growth; Business; Face (sociological concept); Public housing; Political science; Sociology; Geography; Economics; Finance; Population","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":[0.0004927494,0.0002796604,0.0002632775,0.001296115,0.004628483,0.002303804,0.0007449882,0.0003834126,0.003161182],"category_scores_gemma":[0.001991475,0.0001313919,0.0002753815,0.002133816,0.001247569,0.0007522255,0.002725363,0.0005851115,0.0002196063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02289239,"about_ca_system_score_gemma":0.01506568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9726236,"about_ca_topic_score_gemma":0.9890296,"domain_scores_codex":[0.9992809,0.0001225216,0.00002151443,0.00008942753,0.0001682088,0.0003174329],"domain_scores_gemma":[0.9989944,0.00006775965,0.0002173141,0.00004034031,0.0003009041,0.0003792205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001980969,0.0001430824,0.8481122,0.00006597397,0.00004747162,0.001139627,0.1122073,0.0001921462,0.0007620112,0.004312786,0.00264751,0.03017187],"study_design_scores_gemma":[0.000007584289,0.00005747353,0.836918,0.00005931625,0.00001630371,0.0001485619,0.1558316,0.0003472221,0.0001295666,0.0002237524,0.006240669,0.00001984435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945739,0.0001595125,0.00006288198,0.0003423619,0.000007435545,0.0000201602,0.0001531829,0.000002180836,0.004678451],"genre_scores_gemma":[0.9965049,0.0001642031,0.0001388493,0.00005943063,0.000003740249,0.00001797775,0.0001188575,0.000002044352,0.002990089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02737641,"threshold_uncertainty_score":0.1660967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05054409984200341,"score_gpt":0.2442746338809074,"score_spread":0.1937305340389039,"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."}}