{"id":"W4221043746","doi":"10.29173/cais1290","title":"The roots of language: cognitive processing in child language acquisition","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Language Development and Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Developmental linguistics; Psychology; Computer science; Language acquisition; Linguistics; Cognitive science; Cognitive psychology; Natural language processing; Comprehension approach; Natural language; Neuroscience; Philosophy; Mathematics education","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":[0.0006905612,0.0004447417,0.0004086889,0.001670435,0.0006983395,0.003209337,0.000699038,0.001355101,0.1983943],"category_scores_gemma":[0.00388537,0.0004605271,0.0002254359,0.001737123,0.0006553255,0.003648165,0.0006985222,0.001328071,0.02560822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038359,"about_ca_system_score_gemma":0.001476066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452181,"about_ca_topic_score_gemma":0.03072691,"domain_scores_codex":[0.9998708,0.00001749438,0.000008211618,0.0000124118,0.00007604257,0.00001497597],"domain_scores_gemma":[0.9970119,0.002157216,0.00007058217,0.00007416768,0.0005307645,0.0001552589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008775833,0.00002863899,0.0009089651,0.0004757023,0.000006390326,0.0002371322,0.0003532225,0.0001630148,0.0007880616,0.01272383,0.7413775,0.2428497],"study_design_scores_gemma":[0.00003266836,0.0000487533,0.02048456,0.001511785,0.00001931093,0.000618562,0.000782578,0.00027291,0.001523026,0.02547804,0.9491894,0.00003855938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005533555,0.09716224,0.01071412,0.05332284,0.02483056,0.0001652182,0.02407756,0.001543831,0.7826501],"genre_scores_gemma":[0.04495069,0.09823608,0.006401513,0.002823109,0.009793758,0.0002122712,0.007403147,0.0005947587,0.8295847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1983943,"threshold_uncertainty_score":0.6636949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178741294673318,"score_gpt":0.2716952915476236,"score_spread":0.2599078786008904,"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."}}