{"id":"W4244624694","doi":"10.31234/osf.io/s9b6p","title":"Syntactic prediction adaptation accounts for language processing and language learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Verb; Noun; Linguistics; Noun phrase; Verb phrase; Syntax; Psychology; Determiner phrase; Interpretation (philosophy); Nominative case; Natural language processing; Comprehension; Homophone; Computer science; Artificial intelligence; Philosophy","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":[0.001250764,0.0005541085,0.00030586,0.0005762082,0.000327949,0.001798092,0.0009254572,0.0007561313,0.00384855],"category_scores_gemma":[0.005022284,0.0005458882,0.0005523741,0.000438618,0.001998674,0.002826325,0.001191051,0.001483754,0.0006680826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095034,"about_ca_system_score_gemma":0.0006395003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225431,"about_ca_topic_score_gemma":0.001284106,"domain_scores_codex":[0.9991699,0.0002438465,0.0000275718,0.000275599,0.0001715446,0.0001115973],"domain_scores_gemma":[0.997448,0.001272072,0.0003662443,0.0004399733,0.0002934632,0.0001803422],"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":[0.0006200121,0.0005341231,0.1624792,0.0007077081,0.0003891859,0.005897891,0.01694133,0.03194443,0.1661694,0.2240356,0.004185569,0.3860956],"study_design_scores_gemma":[0.0000987036,0.0005108674,0.2668045,0.0001425974,0.0002448811,0.004062187,0.002480512,0.1328597,0.03150598,0.5478616,0.0131784,0.0002500396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485169,0.0009789098,0.1116406,0.001374224,0.00008868201,0.00006498313,0.0002497359,0.000853725,0.03623222],"genre_scores_gemma":[0.9842144,0.0003598846,0.01203404,0.0001150428,0.00003881071,0.00003720773,0.000170539,0.0001035226,0.002926641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00384855,"threshold_uncertainty_score":0.01287466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252709863452907,"score_gpt":0.3177214462222759,"score_spread":0.2951943475877469,"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."}}