{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005307528,0.0009221323,0.0006006134,0.001869086,0.002204801,0.005005257,0.003039424,0.002712873,0.01666778],"category_scores_gemma":[0.02984982,0.001292012,0.001804131,0.0008276007,0.004405637,0.01335638,0.006567798,0.005023556,0.002685772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745167,"about_ca_system_score_gemma":0.001333328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007416405,"about_ca_topic_score_gemma":0.0005429806,"domain_scores_codex":[0.9943537,0.001692844,0.0003376643,0.001254893,0.001767821,0.0005931118],"domain_scores_gemma":[0.9872506,0.008010093,0.0008896653,0.002041124,0.001549234,0.0002592771],"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":[0.0001318309,0.00003957558,0.001176105,0.0001536024,0.00003596723,0.0006923031,0.003518918,0.001665363,0.004617766,0.9652449,0.001401195,0.02132237],"study_design_scores_gemma":[0.00004028906,0.00005419573,0.0008455442,0.0001244652,0.00004556206,0.0003740508,0.0007255857,0.0168499,0.0146008,0.9480134,0.01826556,0.00006062876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06638405,0.0003662399,0.7979177,0.002347335,0.0005399091,0.0003151936,0.0004983999,0.00250239,0.1291288],"genre_scores_gemma":[0.8996609,0.0002353586,0.08999014,0.000564373,0.0002844093,0.0002286509,0.0005738332,0.0007592611,0.007703103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01666778,"threshold_uncertainty_score":0.05575931,"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."}}