{"id":"W298270016","doi":"","title":"Densely Urban, Expansively Rural: Canadian Architectural Character Now.","year":2012,"lang":"en","type":"article","venue":"Harvard Design Magazine: architecture, landscape architecture, urban design and planning","topic":"Architecture, Design, and Social History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Geography","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":[0.0002985687,0.0006315103,0.0002235721,0.001475957,0.01603309,0.005527702,0.0006934716,0.0009248415,0.05473111],"category_scores_gemma":[0.0009249741,0.0003433679,0.0001867384,0.004579375,0.003816711,0.001941813,0.001859252,0.00183593,0.003715842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04285927,"about_ca_system_score_gemma":0.03805745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921537,"about_ca_topic_score_gemma":0.9991884,"domain_scores_codex":[0.9995043,0.00003322956,0.00001080222,0.00004835434,0.0001886033,0.0002146238],"domain_scores_gemma":[0.9994338,0.00002563981,0.00002007525,0.00002212017,0.000310304,0.0001881456],"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":[0.00005050029,0.00001220514,0.008023528,0.0001551311,0.000006608574,0.0002861495,0.0220364,0.0002632204,0.000413755,0.06399594,0.8000881,0.1046683],"study_design_scores_gemma":[0.000001489299,0.000002901252,0.01306747,0.00004753635,0.000004046142,0.00009098236,0.01596282,0.00002279793,0.00005106632,0.0007565489,0.9699785,0.00001378062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03684305,0.02102099,0.0008015315,0.03384135,0.001695629,0.00005681263,0.007242557,0.0002869216,0.8982111],"genre_scores_gemma":[0.3827791,0.01082398,0.001298503,0.003800763,0.0002045285,0.00004782571,0.002143358,0.000280637,0.5986214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05473111,"threshold_uncertainty_score":0.3109672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779027911213615,"score_gpt":0.2147183144781601,"score_spread":0.1869280353660239,"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."}}