{"id":"W2018405720","doi":"10.1353/lan.2001.0100","title":"<b>Syntactic nuts:</b> Hard cases, syntactic theory, and language acquisition. By Peter W. Culicover Oxford: Oxford University Press, 1999. Pp. viii, 244. Paper £16.99.","year":2001,"lang":"en","type":"article","venue":"Language","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Universal grammar; Linguistic universal; Generative grammar; Syntax; Language acquisition; Computer science; Second-language acquisition; Theoretical linguistics; Grammar; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001318207,0.001919499,0.001277373,0.0025674,0.002017928,0.006794236,0.001531794,0.004778561,0.04118609],"category_scores_gemma":[0.004009006,0.001268253,0.000825567,0.004829513,0.006010887,0.01603884,0.002342374,0.008399202,0.01868118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002891593,"about_ca_system_score_gemma":0.003116408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009487403,"about_ca_topic_score_gemma":0.01402902,"domain_scores_codex":[0.9989738,0.0002283542,0.0000662837,0.0001995979,0.0004371482,0.00009467659],"domain_scores_gemma":[0.9979998,0.001147506,0.0001957842,0.00008242017,0.0004004135,0.0001739615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001426004,0.00001597252,0.000120971,0.0003790701,0.00001137545,0.00004717061,0.0004698245,0.00007882492,0.0001005757,0.04058326,0.91308,0.04509874],"study_design_scores_gemma":[0.000005884029,0.000009082942,0.000556839,0.0007920648,0.000006653973,0.0001577826,0.0004050789,0.00006578238,0.00005190734,0.03298688,0.9649496,0.00001248529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003875763,0.8357502,0.001792921,0.07534679,0.01046422,0.00002373484,0.0001457853,0.00007506069,0.07601363],"genre_scores_gemma":[0.01465464,0.6532322,0.003719169,0.02305647,0.02016029,0.0001323173,0.0004532233,0.0003375266,0.2842542],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04118609,"threshold_uncertainty_score":0.1377812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008554282906705566,"score_gpt":0.2436388898649066,"score_spread":0.235084606958201,"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."}}