{"id":"W2337668786","doi":"","title":"The Study of Coherence in a Speech by the ADM of Health Canada","year":2013,"lang":"en","type":"article","venue":"海外英语","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coherence (philosophical gambling strategy); Face (sociological concept); Speech recognition; Computer science; Control (management); Speech act; Register (sociolinguistics); Linguistics; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001179976,0.00003922577,0.0001073414,0.000006991761,0.0001666878,0.00001124863,0.00012806,0.00000514256,0.00006414855],"category_scores_gemma":[0.0000465126,0.00001880019,0.00000770909,0.00001207477,0.0001432065,0.000006920058,0.00003592932,0.00005008792,0.000001364569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190417,"about_ca_system_score_gemma":0.00007790758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9097958,"about_ca_topic_score_gemma":0.9764604,"domain_scores_codex":[0.999557,0.00003974324,0.0001768367,0.00004896886,0.00008134379,0.00009611762],"domain_scores_gemma":[0.999576,0.0001343212,0.00009068498,0.000120332,0.00007118897,0.000007493707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355639,0.0006241863,0.1124396,0.00007033008,0.0002291431,0.000006074428,0.1866637,0.000001925037,0.000009689998,0.09743798,0.5575447,0.04495921],"study_design_scores_gemma":[0.0009657011,0.0008675965,0.1223699,0.00005023225,0.0000233232,0.00000106885,0.2585567,0.00004801034,0.00008072486,0.007649728,0.6091967,0.0001903525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844528,0.0007126234,5.822031e-8,0.001678914,0.0002289222,0.0002559936,0.00001336552,0.000002156534,0.01265521],"genre_scores_gemma":[0.9981369,0.00001644881,0.000001152334,0.0001493426,0.000031446,0.00001705659,4.528007e-7,0.000002123076,0.001645087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08978825,"threshold_uncertainty_score":0.1282045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177177336457562,"score_gpt":0.2456567944960735,"score_spread":0.2038850211314979,"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."}}