{"id":"W2789868206","doi":"10.1016/j.jsp.2018.02.004","title":"Early developmental trajectories of number knowledge and math achievement from 4 to 10 years: Low-persistent profile and early-life predictors","year":2018,"lang":"en","type":"article","venue":"Journal of School Psychology","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Fondation Lucie et Andre Chagnon; Fonds de Recherche du Québec-Société et Culture; Canada Research Chairs; Centre hospitalier universitaire Sainte-Justine; Canadian Institutes of Health Research; Ministère de la Santé; Institut de la statistique du Québec","keywords":"Psychology; Developmental psychology; Cognition; Early childhood; Population; Life span; Demography; Gerontology; Medicine","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":[0.0008764667,0.000368964,0.0003358489,0.001383013,0.0006085812,0.001328038,0.0008538597,0.001001949,0.002545465],"category_scores_gemma":[0.004298647,0.0003901149,0.0005920937,0.001327338,0.0004494645,0.0009980757,0.001302268,0.001244687,0.0005113576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005734296,"about_ca_system_score_gemma":0.0009282677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03039237,"about_ca_topic_score_gemma":0.03477174,"domain_scores_codex":[0.9995578,0.00006004874,0.0000436691,0.00009571413,0.00006776245,0.0001750573],"domain_scores_gemma":[0.9966821,0.0005394531,0.001231179,0.0001675987,0.0005035627,0.0008761216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007420183,0.00005509833,0.9980618,0.000003738691,0.00001765826,0.00007303897,0.0001583496,0.0000483677,0.0001261946,0.00004562679,0.000066582,0.001269257],"study_design_scores_gemma":[6.732876e-7,0.00003725368,0.9994535,0.000004179926,0.000006421392,0.00005329182,0.0002068667,0.00008055701,0.00004175155,0.00002977328,0.00008287971,0.00000280057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988918,0.0001549968,0.00004234133,0.00006648951,0.000004200172,0.000003337755,0.0003899698,0.000005126711,0.00044183],"genre_scores_gemma":[0.9987205,0.00008975348,0.00005163993,0.000007989065,0.000003108345,0.000004841631,0.0005870466,0.00000305138,0.0005320183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03039237,"threshold_uncertainty_score":0.06043094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399227029391503,"score_gpt":0.3269077587059393,"score_spread":0.2929154884120242,"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."}}