{"id":"W3007155809","doi":"10.1016/j.oneear.2020.01.012","title":"New Cities: Engineering Social Exclusions","year":2020,"lang":"en","type":"article","venue":"One Earth","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social engineering (security); Sociology; Political science; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001142905,0.0005365944,0.0006501938,0.001469082,0.001376746,0.002340761,0.0009157088,0.001036417,0.01127277],"category_scores_gemma":[0.004549281,0.0003421103,0.0007135175,0.00131795,0.002987774,0.003215504,0.002624019,0.001972814,0.0004868467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375238,"about_ca_system_score_gemma":0.001258789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180297,"about_ca_topic_score_gemma":0.01366587,"domain_scores_codex":[0.9994345,0.000299857,0.00001803924,0.00007463519,0.00009566675,0.00007726882],"domain_scores_gemma":[0.9982127,0.000915655,0.0002314279,0.0002070525,0.0001945277,0.0002386173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003425099,0.00001345111,0.0004656709,0.00001569511,0.000008167121,0.0000180874,0.000102153,0.01448662,0.00002985111,0.9801226,0.001842973,0.00289124],"study_design_scores_gemma":[0.000005551764,0.000004608578,0.0002966016,0.00001616074,0.000005684445,0.00001628977,0.0002370396,0.0466382,0.0000294923,0.9468449,0.005900412,0.000004936805],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1842732,0.002389068,0.5226134,0.01935543,0.001299882,0.0001409769,0.0006765777,0.0002591264,0.2689925],"genre_scores_gemma":[0.9288466,0.00118606,0.03203505,0.0004300799,0.0004967624,0.0001834217,0.0001673362,0.0001325402,0.03652212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01180297,"threshold_uncertainty_score":0.0377112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615960566660483,"score_gpt":0.2026945378652879,"score_spread":0.1410984811992396,"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."}}