{"id":"W4235821748","doi":"10.1017/cbo9780511486265","title":"Subjects and Universal Grammar","year":2006,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ergative case; Linguistics; Subject (documents); Linguistic universal; Tagalog; Object (grammar); Perspective (graphical); Problem of universals; Variety (cybernetics); Computer science; Grammar; Mathematics; Artificial intelligence; Philosophy; Transitive relation","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":[0.001967836,0.0004490502,0.0005605115,0.00152811,0.002070591,0.004157732,0.0007945399,0.001232672,0.005150204],"category_scores_gemma":[0.002426119,0.0003373557,0.0005194623,0.001244335,0.01754273,0.006628213,0.002486189,0.002144974,0.0008345163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003615345,"about_ca_system_score_gemma":0.00160264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003849939,"about_ca_topic_score_gemma":0.00299897,"domain_scores_codex":[0.9985381,0.0006497396,0.00006588361,0.0003154549,0.0002489675,0.0001818467],"domain_scores_gemma":[0.9989913,0.0005705093,0.00006975079,0.0002029062,0.0001107909,0.00005477769],"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":[0.000002648888,0.000001951836,0.0001702716,0.00001745201,0.000002612757,0.00002296911,0.00156084,0.00005693753,0.00006912528,0.9927877,0.0009512013,0.004356421],"study_design_scores_gemma":[0.000004599674,0.000005888488,0.0004897695,0.00004023817,0.000004234771,0.00006143739,0.000370874,0.0001019423,0.00006401047,0.9556271,0.04322604,0.000003701864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0635576,0.02834415,0.04773137,0.01426033,0.0005707897,0.00006782747,0.0003291637,0.0004966395,0.844642],"genre_scores_gemma":[0.9268385,0.008061332,0.009097837,0.001894021,0.0006772993,0.0001169519,0.000330788,0.0003843196,0.05259895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005150204,"threshold_uncertainty_score":0.02623135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763385965800671,"score_gpt":0.2230485066336403,"score_spread":0.2054146469756336,"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."}}