{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003753237,0.0002094447,0.0001724618,0.0002166941,0.0004263589,0.00004805638,0.0004354009,0.0001312958,0.0005702148],"category_scores_gemma":[0.000003609545,0.0002173771,0.0001793113,0.0004634272,0.00001894785,0.0000873638,0.0000260821,0.0002973723,0.00002098365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132358,"about_ca_system_score_gemma":0.0000480159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006773332,"about_ca_topic_score_gemma":0.002553857,"domain_scores_codex":[0.9992347,0.00001621394,0.0001242655,0.0002421747,0.0001503382,0.0002322509],"domain_scores_gemma":[0.9993888,0.00007638422,0.00006372409,0.000341683,0.00006968929,0.00005970764],"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":[0.0005611227,0.0005907966,0.00009600865,0.002873624,0.00335512,0.0001437629,0.02334837,0.1139928,0.01419877,0.0973934,0.648954,0.09449221],"study_design_scores_gemma":[0.0004831031,0.00003094778,0.00003416854,0.00003581684,0.0004378896,0.000001227632,0.01765472,0.005716793,0.001433326,0.00007721954,0.9736983,0.0003965262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3206153,0.01178394,0.3179215,0.0008406637,0.02124311,0.01895511,0.00550781,0.008222417,0.2949102],"genre_scores_gemma":[0.5152925,0.001720279,0.002012481,0.0001274518,0.0006775816,0.0003248393,0.01317956,0.0004171309,0.4662482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3247442,"threshold_uncertainty_score":0.8864381,"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."}}