{"id":"W1984659001","doi":"10.1177/0042098014567618","title":"Book review: Thick Space: Approaches to Metropolitanism","year":2015,"lang":"en","type":"article","venue":"Urban Studies","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Space (punctuation); Economic geography; Computer science; Regional science; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007943268,0.0007916417,0.001007103,0.003029885,0.001030934,0.003354665,0.001345423,0.003288197,0.0308361],"category_scores_gemma":[0.004885563,0.0004093577,0.0003901915,0.006505748,0.002022403,0.003799163,0.001489593,0.004428552,0.01144394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261681,"about_ca_system_score_gemma":0.003181969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007991234,"about_ca_topic_score_gemma":0.0305657,"domain_scores_codex":[0.9994049,0.0001645074,0.00003374624,0.00008137525,0.0002712175,0.00004436845],"domain_scores_gemma":[0.9970009,0.001636307,0.0001931419,0.00007731561,0.0008597093,0.0002326538],"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":[0.000003734886,0.000003974746,0.00001978002,0.0003144991,0.000003485635,0.000009085252,0.00003038792,0.00003477313,0.00001819434,0.005190321,0.9763759,0.01799584],"study_design_scores_gemma":[0.000005001242,0.000003771893,0.0001216964,0.0007315088,0.000005652403,0.00005121593,0.00006015251,0.00002184117,0.00001457488,0.003000877,0.9959794,0.00000425515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0002131969,0.7920875,0.0008191004,0.1026581,0.05896161,0.00002496076,0.0002186784,0.00005076557,0.04496612],"genre_scores_gemma":[0.004373015,0.7273607,0.0009184467,0.05570289,0.07125654,0.00008420231,0.0003213636,0.0001707179,0.1398121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0308361,"threshold_uncertainty_score":0.103157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453117391836831,"score_gpt":0.277459607483677,"score_spread":0.1321478682999938,"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."}}