{"id":"W3082059863","doi":"10.1515/opphil-2020-0115","title":"City in Code: The Politics of Urban Modeling in the Age of Big Data","year":2020,"lang":"en","type":"article","venue":"Open Philosophy","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rhetorical question; Politics; Framing (construction); Sociology; Epistemology; Representation (politics); Political science; Environmental ethics; Law and economics; Social science; Law; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.03822447,0.0004923825,0.0007619482,0.003393664,0.01035476,0.0244383,0.00230233,0.006304528,0.004515293],"category_scores_gemma":[0.06478079,0.0007610977,0.0008166201,0.005771057,0.0465682,0.02204111,0.01503161,0.01325116,0.0008316403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0139524,"about_ca_system_score_gemma":0.01286476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03422396,"about_ca_topic_score_gemma":0.03142302,"domain_scores_codex":[0.9759756,0.01596936,0.0006305937,0.001386484,0.005091097,0.0009468608],"domain_scores_gemma":[0.9228335,0.05749911,0.001771747,0.009227083,0.00619196,0.002476746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007836635,0.000004394076,0.0002774988,0.00001578392,0.000005272499,0.00002871562,0.002671704,0.001486809,0.00001885671,0.9796913,0.01273168,0.00306014],"study_design_scores_gemma":[0.000009752341,0.000005757532,0.0002259626,0.0001617129,0.000007108314,0.00002739382,0.004001376,0.00938528,0.0001087437,0.8034742,0.1825643,0.00002849784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02607881,0.005448347,0.1141369,0.6363592,0.002375117,0.00007403694,0.0005137423,0.0004852987,0.2145286],"genre_scores_gemma":[0.9102257,0.005047705,0.02829757,0.03087085,0.002111597,0.0002679141,0.0004931064,0.001021812,0.02166378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896452,"threshold_uncertainty_score":0.2021527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2240506821971033,"score_gpt":0.2796914671405888,"score_spread":0.05564078494348554,"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."}}