{"id":"W4235016606","doi":"10.32920/ryerson.14646600.v1","title":"Resilient Housing for Growing Families: Living in the Urban Core of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Collaborative and Sustainable Housing Initiatives","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Typology; Flexibility (engineering); Architectural engineering; Adaptability; Downtown; Baby boomers; Core (optical fiber); Business; Engineering; Geography; Telecommunications; Civil engineering; Economics; Management; Demographic economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002039308,0.0001690428,0.0003588634,0.0000563497,0.0004537095,0.0002255064,0.0004375188,0.000193788,0.00009096361],"category_scores_gemma":[0.001927223,0.0001372321,0.0001501726,0.0002725935,0.0002195294,0.0003926954,0.0002829109,0.0002040347,1.389724e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005726234,"about_ca_system_score_gemma":0.001549179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06137048,"about_ca_topic_score_gemma":0.2446771,"domain_scores_codex":[0.9979756,0.000533927,0.0003706498,0.0003519045,0.0004120244,0.0003558214],"domain_scores_gemma":[0.997512,0.001384724,0.0001914524,0.0003083496,0.0005689295,0.00003456366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002486655,0.0001703346,0.01230351,0.0004501731,0.00005598357,0.00001527603,0.9031989,0.0005746412,0.00007786645,0.07976349,0.0009522515,0.002412694],"study_design_scores_gemma":[0.00009565612,0.00003569703,0.003712584,0.0006314833,0.00002531951,7.208069e-8,0.9850959,0.0002496959,0.00005049776,0.0009062528,0.008998265,0.0001986079],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272042,0.00477783,0.002627331,0.0008080322,0.000705002,0.00178865,0.00001867459,0.00006355175,0.1620068],"genre_scores_gemma":[0.9966249,0.0007898665,0.001404788,0.0002392587,0.0002471147,0.0001109511,0.000007971703,0.0000155621,0.0005595368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1833066,"threshold_uncertainty_score":0.9448799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112896884340352,"score_gpt":0.35476955095442,"score_spread":0.3036405821110165,"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."}}