{"id":"W4247715803","doi":"10.3765/salt.v0i0.2505","title":"Pronouns, Presuppositions, and Semantic Variation","year":2015,"lang":"en","type":"article","venue":"Proceedings from Semantics and Linguistic Theory","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Presupposition; Variation (astronomy); Linguistics; Natural language processing; Computer science; Psychology; Artificial intelligence; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002166615,0.0004853342,0.0007342289,0.001040794,0.001571066,0.005262357,0.001366076,0.001687477,0.008902788],"category_scores_gemma":[0.007710788,0.0003935308,0.0006599422,0.002381672,0.01100843,0.009937366,0.00253059,0.004521616,0.001066316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472949,"about_ca_system_score_gemma":0.0009085836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090842,"about_ca_topic_score_gemma":0.002239278,"domain_scores_codex":[0.9985558,0.0006888463,0.00008422654,0.0003144548,0.0002753934,0.00008113169],"domain_scores_gemma":[0.9961904,0.002855121,0.0001843981,0.0004337293,0.0002369939,0.00009928479],"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":[0.00003081176,0.00001675871,0.0003540383,0.00009250303,0.00002985993,0.00006647137,0.0007039495,0.0002714926,0.0001680688,0.9823946,0.005291124,0.01058024],"study_design_scores_gemma":[0.000006651971,0.000008019937,0.0004758585,0.00007011922,0.00001888461,0.00007254672,0.0003659853,0.0003466821,0.0001694481,0.9818278,0.01662909,0.000008848675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07800552,0.2043751,0.1139927,0.09341272,0.005409406,0.00005473998,0.0009096796,0.0003944997,0.5034456],"genre_scores_gemma":[0.9341002,0.02758644,0.009262732,0.004147745,0.002668949,0.00005679587,0.0004513923,0.000120895,0.02160493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008902788,"threshold_uncertainty_score":0.02978277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217146221389084,"score_gpt":0.2252456113429444,"score_spread":0.203530989204036,"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."}}