{"id":"W2580808226","doi":"10.3968/9033","title":"Mitigating Mechanism of Discourse Markers","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politeness; Contradiction; Emotive; Politeness theory; Interpersonal communication; Mechanism (biology); Face (sociological concept); Discourse marker; Social psychology; Relation (database); Linguistics; Psychology; Sociology; Epistemology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004237742,0.001043711,0.0005279223,0.003496078,0.002449352,0.005457618,0.001343856,0.002173525,0.007631665],"category_scores_gemma":[0.01664965,0.0005830853,0.0007408631,0.001013045,0.004072104,0.008942835,0.005282068,0.001762506,0.001882402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170925,"about_ca_system_score_gemma":0.001350929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005931641,"about_ca_topic_score_gemma":0.0002861436,"domain_scores_codex":[0.9945728,0.002239743,0.0003398136,0.001266405,0.001148582,0.0004325569],"domain_scores_gemma":[0.993306,0.002566532,0.0009822481,0.001408663,0.001427073,0.0003095645],"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":[0.0002024778,0.00006415493,0.005501789,0.0006215474,0.00005802264,0.001344502,0.04202347,0.0004651225,0.04919791,0.8153202,0.002204491,0.08299636],"study_design_scores_gemma":[0.0001565276,0.0005692642,0.01286919,0.001453849,0.0004312113,0.005728567,0.03154815,0.01336238,0.08943535,0.5583109,0.2858593,0.0002752291],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2256583,0.00416303,0.5116798,0.006323001,0.001104533,0.001049079,0.0004902207,0.002440476,0.2470915],"genre_scores_gemma":[0.9188687,0.0006830939,0.06501836,0.0003413275,0.0001731308,0.0003449857,0.0001744516,0.0002178589,0.01417805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007631665,"threshold_uncertainty_score":0.02553046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983122889756751,"score_gpt":0.2809319140130091,"score_spread":0.2511006851154416,"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."}}