{"id":"W1603624217","doi":"10.3765/salt.v20i0.2579","title":"Triggering verbal presuppositions","year":2010,"lang":"en","type":"article","venue":"Proceedings from Semantics and Linguistic Theory","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"European Social Fund; Andrew W. Mellon Foundation","keywords":"Predicate (mathematical logic); Presupposition; Sentence; Utterance; Linguistics; Intuition; Event (particle physics); Computer science; Independence (probability theory); Mathematics; Artificial intelligence; Philosophy; Epistemology","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":[0.0003685151,0.0001264232,0.0001425222,0.00006879478,0.0002131099,0.0003013878,0.0002944065,0.00007789982,0.00002020618],"category_scores_gemma":[0.000393838,0.000115382,0.00003655727,0.00009818539,0.00004316258,0.0001428839,0.0001343811,0.0001982561,0.00002164542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007089078,"about_ca_system_score_gemma":0.00001821169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003501314,"about_ca_topic_score_gemma":0.00000369069,"domain_scores_codex":[0.999121,0.00000854057,0.0002054468,0.0003210093,0.0001534597,0.0001905481],"domain_scores_gemma":[0.9993665,0.0001424775,0.0001046625,0.0001495318,0.0001290469,0.0001077355],"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":[0.000006427411,0.00003629454,0.0009805182,0.00003598156,0.00001966153,0.000004090349,0.003384109,5.1206e-7,0.02236215,0.9713818,0.00009983394,0.001688589],"study_design_scores_gemma":[0.001747589,0.0001634546,0.02631839,0.0003159943,0.000162258,0.00008120912,0.0004106699,0.2069073,0.01888661,0.7052546,0.03857857,0.001173403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.858507,0.0001841612,0.1287,0.0002728754,0.002464872,0.0002544849,0.00001609396,0.0002809423,0.009319467],"genre_scores_gemma":[0.9875792,0.00001544738,0.01153771,0.00006266263,0.0006336066,0.000008970199,0.000004995356,0.00001091927,0.0001464644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661273,"threshold_uncertainty_score":0.4705143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005625948467144382,"score_gpt":0.2135821170328597,"score_spread":0.2079561685657153,"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."}}