{"id":"W4255570222","doi":"10.32920/ryerson.14649564.v1","title":"Dwelling with density","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinterpretation; Urban sprawl; Status quo; Downtown; Geography; Population; Idyll; Economic growth; Urban planning; Sociology; Environmental planning; Political science; Civil engineering; Engineering; Demography; Aesthetics; Economics; Archaeology; Law","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":[0.0001389701,0.0001512598,0.0001953012,0.000003228812,0.0001093665,0.0001570989,0.0001745207,0.0001494165,0.0007350905],"category_scores_gemma":[0.00001638843,0.00003890623,0.00007533065,0.0001100103,0.0000313555,0.00004296639,0.0003767259,0.0002400203,0.0000084318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003930917,"about_ca_system_score_gemma":0.00003447604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000658242,"about_ca_topic_score_gemma":0.002262217,"domain_scores_codex":[0.9990769,0.00004246198,0.0001287784,0.0003856122,0.000173622,0.0001926439],"domain_scores_gemma":[0.9996047,0.00005118412,0.00004600936,0.00006235893,0.00017057,0.00006518005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114924,0.0003400088,0.7798244,0.0002696307,0.0001832842,0.0003224664,0.0006409959,0.0001904672,0.01377346,0.0008926709,0.003558051,0.1998897],"study_design_scores_gemma":[0.00005510648,0.00005496866,0.9851021,0.00006978908,0.00001785007,0.000007002712,0.001730932,0.0001003332,0.005649041,0.002559399,0.004132151,0.0005212992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935565,0.00006254618,0.00003141453,0.001679605,0.00009867773,0.0001690787,0.000001697402,0.00009219898,0.004308262],"genre_scores_gemma":[0.9963195,0.00002706845,0.0008977575,0.0001620854,0.00009534533,0.000009731194,0.0001500915,3.435169e-7,0.002338133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052777,"threshold_uncertainty_score":0.8048725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714324712359457,"score_gpt":0.2026714815944853,"score_spread":0.1855282344708907,"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."}}