{"id":"W4313189051","doi":"10.51347/jum.v11i2.4193","title":"Comparing metropolitan regions P. Hess","year":2007,"lang":"en","type":"article","venue":"Urban Morphology","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Geography; Regional science; Archaeology","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":[0.0006582431,0.00006703608,0.0001295766,0.0001237577,0.0004621366,0.00002888819,0.0002036122,0.0001051303,0.0003784591],"category_scores_gemma":[0.0001910071,0.00007291925,0.00003658233,0.0003644033,0.0002943632,0.00008008307,0.00002953572,0.0001279647,0.0001565932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190506,"about_ca_system_score_gemma":0.00004684955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587372,"about_ca_topic_score_gemma":0.00298122,"domain_scores_codex":[0.9990414,0.0001027029,0.0001563711,0.0001621054,0.0001341642,0.0004032293],"domain_scores_gemma":[0.9994688,0.0001272927,0.00005939714,0.0001332345,0.00006251216,0.0001487384],"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":[0.000005430432,0.00002413986,0.3298778,9.625769e-7,0.000008129262,0.00002437815,0.00285581,0.000001780211,0.0002181215,0.6117572,0.05514717,0.00007913822],"study_design_scores_gemma":[0.0003548258,0.00003456912,0.1450092,0.000008072873,0.00001978128,0.00001726885,0.01377381,0.00002429268,0.0002210141,0.003510683,0.8367836,0.0002427814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4475608,0.0002818408,0.01646095,0.002411252,0.0007180448,0.0001153741,0.000001862436,0.0002550505,0.5321948],"genre_scores_gemma":[0.9886189,0.00000809682,0.000573702,0.0008939451,0.0003248751,0.000001370708,0.000009025736,0.000008677941,0.009561415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7816365,"threshold_uncertainty_score":0.4143862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788190730750091,"score_gpt":0.3227601659386906,"score_spread":0.2648782586311897,"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."}}