{"id":"W4414117478","doi":"10.1017/9781108950855.008","title":"Embedding Discourse Spaces without <i>Say</i> Verbs","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Embedding; Semantics (computer science); Discourse analysis; Expressivity; Passive voice","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001514618,0.0004959029,0.0005831083,0.0003202188,0.0002802561,0.0002687487,0.00187701,0.0003928202,0.00000187656],"category_scores_gemma":[0.00001414335,0.0005543062,0.0003021873,0.00002287582,0.000205258,0.0003055363,0.001185735,0.0004748952,0.00004083939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125254,"about_ca_system_score_gemma":0.0003449802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648067,"about_ca_topic_score_gemma":0.000007134845,"domain_scores_codex":[0.9979283,0.00005776138,0.0002331601,0.0008949548,0.0004363045,0.0004495708],"domain_scores_gemma":[0.9979311,0.00009881516,0.0002850149,0.001269426,0.0001586926,0.00025696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003308901,0.000007435263,0.000005503975,0.00009750261,0.0001174847,0.000343237,0.00008184886,0.000007086147,0.00002627011,0.904877,0.09276407,0.001639437],"study_design_scores_gemma":[0.0006406563,0.00004988411,0.000004408496,0.0005404436,0.0001300847,0.00002484231,0.00004842365,0.001185015,0.0004865817,0.00004980005,0.9961562,0.0006836556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003235095,0.0003376743,0.03311906,0.0000662149,0.001314805,0.0004462217,0.0001351673,0.0004119988,0.9641365],"genre_scores_gemma":[0.001664845,0.0000465139,0.001304483,0.0001382484,0.0002347933,0.000001125698,0.00002948304,0.00002794381,0.9965526],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9048272,"threshold_uncertainty_score":0.9996908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632992344712604,"score_gpt":0.2253808784809159,"score_spread":0.2090509550337898,"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."}}