{"id":"W2128642135","doi":"10.1177/105065190001400402","title":"Walking a Fine Line","year":2000,"lang":"en","type":"article","venue":"Journal of Business and Technical Communication","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Improvisation; Set (abstract data type); Socialization; Action (physics); Relation (database); Space (punctuation); Situated; Function (biology); Value (mathematics); Sociology; Social relation; Sociocultural evolution; Linguistics; Psychology; Computer science; Social psychology; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003232783,0.00006886532,0.0001965368,0.00007721665,0.000203215,0.0000950524,0.0002218025,0.00002364653,0.001481692],"category_scores_gemma":[0.00008095722,0.00004825374,0.00005599287,0.00007376554,0.0002271579,0.0002489522,0.00005704205,0.0001625029,0.000005259166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151098,"about_ca_system_score_gemma":0.00001082145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006307633,"about_ca_topic_score_gemma":0.0005077763,"domain_scores_codex":[0.9993768,0.00003992701,0.0003292717,0.00004992877,0.0001330303,0.00007102035],"domain_scores_gemma":[0.9991875,0.00008300351,0.0001800257,0.0002276321,0.0002981324,0.00002370035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001371754,0.0005290064,0.0002951914,0.00005513442,0.0002342603,0.00002066346,0.005897574,0.0001083591,0.0004582402,0.128288,0.006681485,0.8572949],"study_design_scores_gemma":[0.001919307,0.0003911471,0.02740689,0.001127584,0.0008333629,0.0003377124,0.003986958,0.0003953907,0.0001100721,0.03577886,0.92707,0.0006427494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6365762,0.0330593,0.0006916953,0.020053,0.0001754679,0.0001801728,0.000009072449,0.0001017267,0.3091534],"genre_scores_gemma":[0.9953392,0.00265044,0.0008723956,0.0001068713,0.0002120852,0.000001789576,0.000003350009,0.000006652821,0.000807284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9203885,"threshold_uncertainty_score":0.9994311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273262473412018,"score_gpt":0.2751445995322783,"score_spread":0.2478183521910765,"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."}}