{"id":"W621568185","doi":"10.1016/j.landurbplan.2015.05.010","title":"Quality of urban patterns: Spatially explicit evidence for multiple scales","year":2015,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Recreation; Scale (ratio); Quality (philosophy); Status quo; Environmental planning; Urban planning; Environmental resource management; Geography; Spatial ecology; Matching (statistics); Environmental science; Cartography; Civil engineering; Ecology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440201,0.0001135003,0.0002198737,0.00002122666,0.0000694074,0.00003114713,0.0001502759,0.00005655045,0.00004297833],"category_scores_gemma":[0.00007726601,0.00008514375,0.00004101479,0.00005839596,0.000009549247,0.0002762385,0.00009339718,0.00004236281,0.00001472182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001318291,"about_ca_system_score_gemma":0.000006388703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003230935,"about_ca_topic_score_gemma":0.0004871415,"domain_scores_codex":[0.9990662,0.00003899938,0.00026403,0.0002369761,0.000192063,0.000201732],"domain_scores_gemma":[0.9993023,0.0002585919,0.0001348585,0.0001680403,0.00001375044,0.0001224932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001139352,0.00001893121,0.9944552,0.00009718633,0.000009870273,0.000001563446,0.001390007,0.0002415419,0.0004663974,0.000009012409,0.003009369,0.0001869606],"study_design_scores_gemma":[0.001266651,0.0002097117,0.9809102,0.0002803539,0.00002061616,0.000003974977,0.0007329574,0.01200796,0.0009777709,0.00010274,0.003218563,0.0002684573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971645,0.0009903079,0.0008680417,0.00005289934,0.00008116097,0.0001752073,0.00003052321,0.00002654364,0.0006107872],"genre_scores_gemma":[0.9993541,0.00001815237,0.0003246209,0.00008769309,0.0001163402,0.00002183714,0.00002083266,0.000009243901,0.00004716018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354498,"threshold_uncertainty_score":0.3472061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08717507910573262,"score_gpt":0.3032685341542765,"score_spread":0.2160934550485438,"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."}}