{"id":"W4391669171","doi":"10.1016/j.cognition.2024.105734","title":"Modeling early phonetic acquisition from child-centered audio data","year":2024,"lang":"en","type":"article","venue":"Cognition","topic":"Language Development and Disorders","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence de l'innovation de Défense; École des Hautes Etudes en Sciences Sociales; Grand Équipement National De Calcul Intensif; H2020 European Research Council; Agence Nationale de la Recherche; European Commission; Canadian Institute for Advanced Research","keywords":"Attunement; Perception; Language acquisition; Psychology; Cognitive psychology; Speech perception; Focus (optics); Language development; Perceptual system; Speech recognition; Computer science; Cognitive science; Developmental psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008648777,0.0001016716,0.00008063835,0.00008497533,0.00006434764,0.0001019452,0.0001563427,0.0000789848,0.003973859],"category_scores_gemma":[0.00001250103,0.0001005521,0.00002946211,0.0001269548,0.00001600416,0.0002445123,0.00006739862,0.0001116089,0.003162997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001456662,"about_ca_system_score_gemma":0.00001423226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272934,"about_ca_topic_score_gemma":0.00002940675,"domain_scores_codex":[0.9991305,0.00004010797,0.0001528311,0.0003928974,0.0001169217,0.0001666726],"domain_scores_gemma":[0.9996125,0.00002599391,0.00001626404,0.0002814667,0.00002455127,0.00003919529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001125595,0.00115314,0.00253802,0.0002622418,0.001946374,0.001035545,0.06548161,0.0001114896,0.008961609,0.002854453,0.09642418,0.8181058],"study_design_scores_gemma":[0.02419646,0.0007333625,0.1796491,0.006054723,0.003307187,0.000276209,0.0245542,0.6063017,0.004043465,0.1158109,0.0287814,0.006291271],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086298,0.005145685,0.04734059,0.0004409967,0.002150272,0.0002473337,0.000421196,0.0004008193,0.03522325],"genre_scores_gemma":[0.9919875,0.00004125214,0.0002447649,0.0003722688,0.0003348525,0.00002076806,0.006708568,0.00002274176,0.0002672389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8118145,"threshold_uncertainty_score":0.9976131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05202157819401895,"score_gpt":0.3146431797237747,"score_spread":0.2626216015297558,"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."}}