{"id":"W2000595177","doi":"10.1007/s10988-013-9130-8","title":"Constraints on the lexicalization of logical operators","year":2013,"lang":"en","type":"article","venue":"Linguistics and Philosophy","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Israel Science Foundation; Bar-Ilan University","keywords":"Markedness; Lexicalization; Implicature; Computer science; Linguistics; Negation; Philosophy of language; Axiom; Horn clause; Mathematics; Natural language processing; Pragmatics; Artificial intelligence; Programming language; Philosophy; Epistemology; Logic programming","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000535424,0.0000606902,0.00007514359,0.00001673026,0.00007213364,0.00003718792,0.0001814471,0.00002984516,0.00004603626],"category_scores_gemma":[0.0004141413,0.00003485259,0.00001767926,0.0000793884,0.0001464039,0.00001423388,0.0000560912,0.00006504221,0.00001775245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002492167,"about_ca_system_score_gemma":0.000008939031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001795031,"about_ca_topic_score_gemma":5.918629e-8,"domain_scores_codex":[0.9995802,0.0000230968,0.000109703,0.0001233255,0.00008673782,0.00007694103],"domain_scores_gemma":[0.9995281,0.0001399567,0.00003851942,0.0001599192,0.00009296953,0.00004057109],"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":[6.00648e-7,0.00001798323,0.0001400915,0.000003329976,0.000002374475,0.000001030346,0.00004788591,0.00002687053,0.00003072634,0.9974868,0.00006823894,0.002174112],"study_design_scores_gemma":[0.00006672716,0.00009578146,0.0005085632,0.00001218967,0.000001599341,9.878914e-7,0.000003938295,0.005806485,0.0002974232,0.9916748,0.00147195,0.00005957912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06667566,0.0003714977,0.4555238,0.009045327,0.001606087,0.0007694402,0.00001636305,0.0001702844,0.4658216],"genre_scores_gemma":[0.9953065,0.00001144884,0.003302575,0.001180704,0.0001840147,0.000003728172,8.888463e-7,0.000002195504,0.000007963181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9286308,"threshold_uncertainty_score":0.1421247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995590427606405,"score_gpt":0.2463815541406155,"score_spread":0.2164256498645515,"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."}}