{"id":"W4241096208","doi":"10.32920/ryerson.14653365","title":"Informing the informal: visualizing laneway housing and increased density in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Zoning; Affordable housing; Public housing; Population; Business; Economic growth; Economic geography; Geography; Demographic economics; Sociology; Economics; Civil engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002953224,0.0002340412,0.0003516462,0.00007479178,0.00006509764,0.0002474408,0.0001521562,0.0001974176,0.000111658],"category_scores_gemma":[0.00003899835,0.0001805301,0.00008587218,0.0001052626,0.00002209253,0.000242739,0.0003632707,0.0003665517,0.000002126293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103566,"about_ca_system_score_gemma":0.0000438466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06934762,"about_ca_topic_score_gemma":0.1726914,"domain_scores_codex":[0.9990472,0.00003369445,0.0003535995,0.0001622309,0.0001696953,0.0002335794],"domain_scores_gemma":[0.9994848,0.00007496763,0.00004654455,0.0002904215,0.00003526283,0.00006795004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001279044,0.0001754582,0.3024544,0.005023632,0.003126291,0.0006027824,0.06552662,0.1719336,0.01219608,0.002209934,0.002252554,0.4343708],"study_design_scores_gemma":[0.0004766872,0.00001666273,0.0502125,0.0004495404,0.0001977765,0.00001950235,0.005296259,0.9373338,0.003431841,0.00007592085,0.001476839,0.001012616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782494,0.001665129,0.00693045,0.00002273124,0.0001456892,0.0001756591,0.000002035092,0.000221635,0.01258725],"genre_scores_gemma":[0.9982038,0.0005127702,0.000942101,0.0001360067,0.00007038203,0.00001143651,0.0000344207,0.00002287253,0.00006618808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7654002,"threshold_uncertainty_score":0.9368497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022165930377008,"score_gpt":0.2225217527210578,"score_spread":0.2123000934172878,"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."}}