{"id":"W2994147229","doi":"10.1146/annurev-devpsych-121318-085221","title":"Neighborhood Effects on Children's Development in Experimental and Nonexperimental Research","year":2019,"lang":"en","type":"article","venue":"Annual Review of Developmental Psychology","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Socioeconomic status; Salient; Psychology; Disadvantage; Perspective (graphical); Poverty; Developmental psychology; Sociology; Geography; Computer science; Economics; Economic growth; Population; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.001236498,0.0001717965,0.0003814918,0.0002221208,0.0002358358,0.00001394817,0.0002424413,0.0000838579,0.0003136005],"category_scores_gemma":[0.0001460394,0.0001586902,0.00004250895,0.0005375514,0.0003145424,0.000196926,0.0001233673,0.0001888975,0.0002088837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625476,"about_ca_system_score_gemma":0.0001498506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009133603,"about_ca_topic_score_gemma":0.0000242285,"domain_scores_codex":[0.9976176,0.0004546706,0.0004536806,0.000440773,0.0005670888,0.0004661803],"domain_scores_gemma":[0.9992911,0.0002703177,0.0000878506,0.000139095,0.00009233264,0.0001192856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522566,0.001895861,0.6695235,0.0006884508,0.0002344025,0.00002880939,0.1209637,1.561477e-7,0.004082743,0.04993245,0.01123101,0.1411666],"study_design_scores_gemma":[0.004472968,0.001219578,0.8547828,0.003761315,0.000010837,0.00003763525,0.02201301,6.278646e-7,0.02687776,0.0004125377,0.08553459,0.0008763871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857861,0.03209293,0.000006567062,0.001303073,0.0003113124,0.001201465,0.00000365649,0.00002754074,0.07926739],"genre_scores_gemma":[0.9924254,0.0042714,0.0005953165,0.00227724,0.00004324037,0.00007626627,0.000007687963,0.00001248224,0.0002909999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852592,"threshold_uncertainty_score":0.64712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912340252992277,"score_gpt":0.4185419707543284,"score_spread":0.3794185682244057,"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."}}