{"id":"W4236302501","doi":"10.32920/ryerson.14644380.v1","title":"Alt Housing: Between the Grain","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Adaptability; Misrepresentation; Architectural engineering; Neglect; Ideology; Sociology; Accommodation; Public housing; Civil engineering; Political science; Engineering; Geography; Psychology; Economics; Politics; Management; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004398863,0.0003279752,0.0002152562,0.0003974584,0.00256771,0.006334379,0.0004893011,0.00128287,0.04826178],"category_scores_gemma":[0.001229961,0.0002748446,0.0002170612,0.0008989294,0.002938533,0.005222434,0.003154009,0.001315739,0.007843726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046335,"about_ca_system_score_gemma":0.001119252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006480473,"about_ca_topic_score_gemma":0.01455703,"domain_scores_codex":[0.9995409,0.000140348,0.00001299334,0.0001102932,0.0001158414,0.00007971116],"domain_scores_gemma":[0.9997781,0.00003770872,0.00001587484,0.00006321639,0.00004606649,0.00005904571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003916067,0.00001839049,0.001354575,0.00005313214,0.000006609895,0.0001205671,0.002275471,0.0007206955,0.0003035521,0.886606,0.04086405,0.06763779],"study_design_scores_gemma":[0.000009309441,0.00003307848,0.001916295,0.0001283224,0.000006772641,0.0001513065,0.004363362,0.001304175,0.0003156646,0.2386692,0.7530901,0.00001247503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03958017,0.005962661,0.03511731,0.02270021,0.001742791,0.00005677599,0.0004903921,0.0003469487,0.8940027],"genre_scores_gemma":[0.6183591,0.004409463,0.0191811,0.00226525,0.0003821252,0.00009470096,0.0005806362,0.0004232691,0.3543043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04826178,"threshold_uncertainty_score":0.1614518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962519876741351,"score_gpt":0.2260743136162327,"score_spread":0.2064491148488192,"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."}}