{"id":"W2169643630","doi":"10.1111/cogs.12260","title":"Accommodating Presuppositions Is Inappropriate in Implausible Contexts","year":2015,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Massachusetts Amherst; Harvard University","keywords":"Presupposition; Assertion; Epistemology; Reading (process); Linguistics; Psychology; Content (measure theory); Information structure; Philosophy; Sociology; Computer science; Mathematics","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":[0.006033491,0.0007537277,0.0007507124,0.0008503939,0.001006948,0.003228568,0.001524499,0.002037419,0.003480248],"category_scores_gemma":[0.04906651,0.0009843699,0.0006551723,0.0005867458,0.004198099,0.005752622,0.003665333,0.002882137,0.000608264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091558,"about_ca_system_score_gemma":0.0006623971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202636,"about_ca_topic_score_gemma":0.001126469,"domain_scores_codex":[0.9868102,0.004649358,0.001657799,0.002497379,0.003727138,0.0006581629],"domain_scores_gemma":[0.9509628,0.0310012,0.005155993,0.009288815,0.002690969,0.0009000465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004227096,0.0008095864,0.05642197,0.001854148,0.0004148661,0.004599032,0.07531601,0.002530954,0.6518329,0.1425605,0.001376386,0.05805653],"study_design_scores_gemma":[0.0007096209,0.001935357,0.1517529,0.000336956,0.0008922465,0.007996432,0.04095785,0.02414186,0.3340387,0.4126081,0.0240706,0.0005594479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428822,0.0003173753,0.0319346,0.000891697,0.0001081247,0.00008591427,0.00008293089,0.0003786575,0.02331846],"genre_scores_gemma":[0.9958273,0.00006671457,0.003390143,0.0001659551,0.00002362382,0.00002967318,0.00005127124,0.00008017277,0.0003651559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006033491,"threshold_uncertainty_score":0.03190857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07383036788244526,"score_gpt":0.3120673615187077,"score_spread":0.2382369936362625,"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."}}