{"id":"W2125223755","doi":"10.1111/cdev.12193","title":"Predicting Individual Variation in Language From Infant Speech Perception Measures","year":2013,"lang":"en","type":"review","venue":"Child Development","topic":"Language Development and Disorders","field":"Psychology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Agence Nationale de la Recherche","keywords":"Psychology; Variation (astronomy); Vocabulary; Perception; Perspective (graphical); Variety (cybernetics); Bivariate analysis; Speech perception; Cognitive psychology; Relation (database); Developmental psychology; Language development; Correlation; Scrutiny; Linguistics; Artificial intelligence; Statistics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002704324,0.001080365,0.002138837,0.003779855,0.0001437536,0.001038191,0.0009798164,0.0007723719,0.001543765],"category_scores_gemma":[0.007035134,0.0003396764,0.001354345,0.00254348,0.0004291747,0.0009186981,0.0007180534,0.0009104498,0.0005359136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624935,"about_ca_system_score_gemma":0.001495885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004089784,"about_ca_topic_score_gemma":0.005296102,"domain_scores_codex":[0.9992297,0.0002195762,0.0001429996,0.0001530435,0.0002314468,0.00002335675],"domain_scores_gemma":[0.9961042,0.00296383,0.0004348966,0.00005939166,0.0003992598,0.00003854596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006536594,0.00005503084,0.005644008,0.0483859,0.0006998692,0.000076248,0.0001194969,0.0002265481,0.0004255194,0.0006699804,0.001863019,0.941769],"study_design_scores_gemma":[0.0001192672,0.001243327,0.262779,0.235707,0.0161769,0.00770499,0.002036858,0.002049299,0.006194044,0.009265187,0.4563689,0.0003552911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007021287,0.9985837,0.0002301117,0.00009738851,0.0000278907,0.000009245817,0.00005780454,0.000004022814,0.0002877582],"genre_scores_gemma":[0.003954741,0.9952283,0.0005783819,0.00003951419,0.00002605236,0.00001693443,0.00006915822,0.000001343848,0.00008557461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004089784,"threshold_uncertainty_score":0.01430202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391509436604125,"score_gpt":0.3198199130505503,"score_spread":0.2806689693901378,"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."}}