{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000675479,0.0006116247,0.001114058,0.0005992034,0.0001359168,0.0001287331,0.0005183081,0.0006334035,0.004990417],"category_scores_gemma":[0.0001192033,0.0005127073,0.000170058,0.0004491799,0.0000291492,0.0001453467,0.0002038011,0.0006910631,0.002486163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656301,"about_ca_system_score_gemma":0.0003652016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341993,"about_ca_topic_score_gemma":0.000554261,"domain_scores_codex":[0.9965367,0.0003091229,0.001175161,0.0008463382,0.0005792276,0.0005534363],"domain_scores_gemma":[0.9988,0.0001374828,0.000457477,0.0004444444,0.00004324409,0.0001173933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004743157,0.0001076766,0.001491238,0.0004697774,0.0003335751,0.00004106047,0.05022199,1.661493e-7,4.812248e-7,0.00001471516,0.0008617249,0.9464529],"study_design_scores_gemma":[0.0009205607,0.00001640873,0.1570612,0.006077323,0.0002584661,0.00003390211,0.003453603,0.000001170925,0.000001458358,0.00002431448,0.831075,0.001076554],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0109647,0.9740888,0.00008511443,0.00002232424,0.001235486,0.001610032,0.00005194773,0.000171351,0.01177021],"genre_scores_gemma":[0.001306755,0.9832788,0.0066423,0.0002821572,0.0006677289,0.001193031,0.004950779,0.0001647223,0.001513789],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9453763,"threshold_uncertainty_score":0.9997324,"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."}}