{"id":"W3122723786","doi":"10.1371/journal.pone.0242611","title":"Venues and segregation: A revised Schelling model","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Connaught Fund; University of Toronto","keywords":"Set (abstract data type); Mechanism (biology); Computer science; Style (visual arts); Economic geography; Overlay; Data science; Geography; Archaeology; Epistemology","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":[0.0009591668,0.0005871488,0.0007558301,0.001339021,0.001585925,0.002613087,0.002707026,0.002418301,0.01608927],"category_scores_gemma":[0.003599893,0.0003942036,0.0009532855,0.001706416,0.002282865,0.003931254,0.002247799,0.001367627,0.00193657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117031,"about_ca_system_score_gemma":0.001146041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398552,"about_ca_topic_score_gemma":0.01025793,"domain_scores_codex":[0.9992887,0.0002979011,0.00002368318,0.0001313162,0.0001246972,0.0001336872],"domain_scores_gemma":[0.9988657,0.0004831578,0.0001722632,0.000100046,0.0001117201,0.0002670748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008624193,0.00009936245,0.004001285,0.00004694736,0.00001919605,0.0002307872,0.0005512506,0.1491859,0.0003831036,0.8319172,0.003438662,0.0100401],"study_design_scores_gemma":[0.0001455335,0.00008750812,0.001669769,0.00004551644,0.00004091215,0.0002577099,0.0004755139,0.4646806,0.000243828,0.5132694,0.01903568,0.00004805706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3426438,0.001357903,0.3708365,0.00997985,0.0002192201,0.0002930159,0.001846083,0.0004722369,0.2723513],"genre_scores_gemma":[0.93109,0.001032817,0.02639648,0.000318795,0.0001010075,0.0001947783,0.0002713299,0.00007622139,0.04051859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01608927,"threshold_uncertainty_score":0.05382395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1550197429130532,"score_gpt":0.2898262452903976,"score_spread":0.1348065023773444,"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."}}