{"id":"W3166326203","doi":"10.1093/jos/ffab007","title":"The Contribution of Gestures to the Semantics of Non-Canonical Questions","year":2021,"lang":"en","type":"article","venue":"Journal of Semantics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Presupposition; Rhetorical question; Interpretation (philosophy); Feature (linguistics); Computer science; Context (archaeology); Linguistics; Semantics (computer science); Canonical form; Speech recognition; Artificial intelligence; Mathematics; History; Philosophy","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":[0.003152786,0.0007975891,0.0005149865,0.001918721,0.001741062,0.00600101,0.001063663,0.002110811,0.004176366],"category_scores_gemma":[0.01797795,0.000726911,0.0006146444,0.001219477,0.009541074,0.01072746,0.004686965,0.002219096,0.0006760377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469672,"about_ca_system_score_gemma":0.0009095732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067649,"about_ca_topic_score_gemma":0.00083722,"domain_scores_codex":[0.9945729,0.003153499,0.0003343541,0.0006773273,0.0009162918,0.0003457055],"domain_scores_gemma":[0.9910927,0.005452928,0.0009773154,0.001048899,0.001074869,0.0003531676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001966845,0.00001867001,0.002531391,0.0002944132,0.00002258168,0.0007759741,0.06087346,0.0008013223,0.01546022,0.8944058,0.0008637378,0.02375575],"study_design_scores_gemma":[0.00006531511,0.0001638663,0.007035621,0.0002855757,0.00006615964,0.001736997,0.03420739,0.01736283,0.01039427,0.87856,0.05000394,0.0001179781],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5433685,0.001676695,0.2807514,0.004388835,0.0004729827,0.0001512015,0.0003864225,0.00119091,0.1676131],"genre_scores_gemma":[0.988817,0.0001436607,0.009315627,0.00008477033,0.00009155331,0.00004161603,0.00008789453,0.0001692082,0.001248633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00600101,"threshold_uncertainty_score":0.01667374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225722277499878,"score_gpt":0.3014186104188582,"score_spread":0.2788463826688704,"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."}}