{"id":"W1943488672","doi":"10.5539/jedp.v5n2p89","title":"School Climate, Teacher-Child Closeness, and Low-Income Children’s Academic Skills in Kindergarten","year":2015,"lang":"en","type":"article","venue":"Journal of Educational and Developmental Psychology","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Closeness; Psychology; Literacy; Multilevel model; Developmental psychology; Disadvantage; Poverty; Low income; Academic skills; Sample (material); Mathematics education; Pedagogy; Chemistry; Political science; Sociology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005286578,0.0002985465,0.0003281613,0.0009431725,0.0006389749,0.001184873,0.0004226843,0.0002859854,0.001856647],"category_scores_gemma":[0.002095325,0.0002533104,0.0003149053,0.0008920281,0.000595129,0.0005227398,0.0009447414,0.0006707535,0.0001664611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005830775,"about_ca_system_score_gemma":0.0005438894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03245045,"about_ca_topic_score_gemma":0.07712688,"domain_scores_codex":[0.9996197,0.00008984928,0.0000289895,0.00008015364,0.00007300606,0.0001082942],"domain_scores_gemma":[0.9980507,0.000497415,0.0007492957,0.0001036831,0.0001443605,0.0004546282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001757373,0.00004449995,0.9987506,0.000004631773,0.00001792097,0.00002932599,0.0004488772,0.00003210418,0.00009303954,0.00002474737,0.00002057263,0.0005160889],"study_design_scores_gemma":[6.181193e-7,0.00001498073,0.9993687,0.000002419467,0.000004488008,0.00001326485,0.0005014823,0.00002406178,0.00002909282,0.000008856435,0.00003110382,9.914986e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996487,0.0000405369,0.0000239337,0.00001004007,0.000001270965,0.000001834584,0.00004476272,0.000001081883,0.000227843],"genre_scores_gemma":[0.9997188,0.00002662203,0.00004397501,0.000006016082,0.000001422414,0.000003885416,0.00009272456,8.632804e-7,0.0001056089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03245045,"threshold_uncertainty_score":0.0645231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186609497876183,"score_gpt":0.3474680038013099,"score_spread":0.3288070540136916,"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."}}