{"id":"W1602067939","doi":"10.1002/9781118963418.childpsy413","title":"Children in Neighborhoods","year":2015,"lang":"en","type":"other","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Residence; Context (archaeology); Field (mathematics); Focus (optics); Section (typography); Life course approach; Unit (ring theory); Sociology; Data science; Computer science; Psychology; Geography; Developmental psychology; Mathematics education; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003494677,0.0001789956,0.0003106424,0.0002487772,0.00009169425,0.00004280971,0.0002619202,0.0003071226,0.008208915],"category_scores_gemma":[0.0001503767,0.000155686,0.00004919759,0.0004058809,0.0001915881,0.00005197429,0.00005026298,0.0001502984,0.0007180078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009158384,"about_ca_system_score_gemma":0.0002982418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02777243,"about_ca_topic_score_gemma":0.08726484,"domain_scores_codex":[0.9986587,0.0001341796,0.0001710689,0.0002715995,0.0004447422,0.000319768],"domain_scores_gemma":[0.9995041,0.00004540801,0.00009459021,0.000187323,0.00004851463,0.000119986],"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":[0.000001197213,0.00002656261,0.01490191,0.000002104958,0.00003163499,0.000001374451,0.00225166,1.090151e-7,2.710047e-8,0.009886173,0.9717109,0.001186349],"study_design_scores_gemma":[0.0002376101,0.000009860944,0.001787635,0.00002851745,0.00001066686,1.597881e-7,0.001013242,0.000001078821,1.611905e-7,0.0009490275,0.9957462,0.0002158504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001004513,0.00230469,0.00002179671,0.0006686766,0.0004681071,0.0003098047,0.0000297655,0.000296124,0.995891],"genre_scores_gemma":[0.001600954,0.0007939652,0.0001390526,0.00030622,0.001584884,0.00001583255,0.00003273143,0.0001286148,0.9953977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05949241,"threshold_uncertainty_score":0.9926977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826250426123643,"score_gpt":0.3164219346272404,"score_spread":0.288159430366004,"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."}}