{"id":"W7053635987","doi":"","title":"Vagabond: housing for the mobile adult","year":2022,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Affordable housing; Public housing; Infill; Scale (ratio); Aging in place","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":[0.0002054946,0.0002397344,0.0001011747,0.0002309579,0.002341321,0.001641864,0.0006267623,0.00081703,0.1302869],"category_scores_gemma":[0.0005126438,0.0001336446,0.0001561785,0.000276455,0.0006686154,0.001555257,0.004631553,0.00108313,0.03133427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171483,"about_ca_system_score_gemma":0.002302027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138561,"about_ca_topic_score_gemma":0.0586187,"domain_scores_codex":[0.999764,0.00002489133,0.000006473896,0.0000268925,0.00009359285,0.00008421329],"domain_scores_gemma":[0.9997533,0.00000810825,0.0000112331,0.00001263929,0.00002901368,0.0001857875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003384303,0.00004655916,0.001516785,0.0001277124,0.000001409197,0.0002255659,0.002079585,0.00004213103,0.0006363094,0.01430263,0.7888473,0.1921403],"study_design_scores_gemma":[0.000004604186,0.00001955138,0.003194528,0.00008266195,7.209057e-7,0.0001248418,0.001490035,0.00002210271,0.0001515535,0.0004892366,0.9944158,0.000004450906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0115789,0.00299163,0.0009535106,0.008195862,0.002622182,0.00020504,0.001375917,0.0005018305,0.9715751],"genre_scores_gemma":[0.03600736,0.004051844,0.001902378,0.001821128,0.0002572635,0.0001654079,0.001439133,0.000174233,0.9541811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1302869,"threshold_uncertainty_score":0.4358529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813242490554967,"score_gpt":0.196987974888099,"score_spread":0.190174732397544,"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."}}