{"id":"W2778195513","doi":"10.1017/9781139086264","title":"Direct Objects and Language Acquisition","year":2017,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Learnability; Generative grammar; Linguistics; Object (grammar); Computer science; Transitive relation; Grammar; Language acquisition; Emergent grammar; Reading (process); Artificial intelligence; Natural language processing; Mathematics; 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":[0.0003927315,0.0002523751,0.0002727281,0.0005362137,0.0008869619,0.003115227,0.0004880895,0.0007669156,0.01195804],"category_scores_gemma":[0.001298099,0.0002329019,0.0001863903,0.0005499175,0.004861211,0.003998779,0.002481102,0.001655468,0.00237554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582928,"about_ca_system_score_gemma":0.001107599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002526961,"about_ca_topic_score_gemma":0.003712216,"domain_scores_codex":[0.9996396,0.00007891631,0.00001410833,0.00006683529,0.0001579797,0.00004258458],"domain_scores_gemma":[0.9996418,0.0002291307,0.00002240727,0.000033972,0.00004163964,0.00003112259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000244901,0.00006109083,0.001286866,0.0002278744,0.000008274703,0.0005018296,0.01214598,0.0001699078,0.001072475,0.7763278,0.01793619,0.1902372],"study_design_scores_gemma":[0.00001359612,0.00005973182,0.006642676,0.0003035952,0.000009013856,0.0009261134,0.003422373,0.0001540439,0.0007508354,0.3508693,0.6368325,0.0000161783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02935908,0.0333383,0.002188419,0.004086411,0.0002496669,0.00003077709,0.00008204751,0.00008808022,0.9305772],"genre_scores_gemma":[0.4592339,0.05442595,0.004696557,0.001862278,0.0004636688,0.0001283323,0.0003620427,0.0001998574,0.4786274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01195804,"threshold_uncertainty_score":0.0400036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063084022383187,"score_gpt":0.2062683962852596,"score_spread":0.1856375560614277,"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."}}