{"id":"W4377818746","doi":"10.1109/tpc.2023.3275889","title":"IEEE Transactions on Professional Communication Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Professional Communication","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Okanagan University College; University of British Columbia","funders":"","keywords":"Professional communication; Technical communication; Computer science; Business; World Wide Web; Knowledge management; Multimedia; Engineering","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001110879,0.0003815609,0.00029562,0.0009573541,0.001834358,0.0003694221,0.002169049,0.000318303,0.0001486953],"category_scores_gemma":[0.00004173802,0.000356183,0.0002155017,0.002124217,0.0001739985,0.005196019,0.00001623482,0.001191144,0.003151192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681284,"about_ca_system_score_gemma":0.0003376519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003380436,"about_ca_topic_score_gemma":0.00003347468,"domain_scores_codex":[0.9962672,0.0007034139,0.0009207992,0.0004602438,0.001144787,0.0005035321],"domain_scores_gemma":[0.995272,0.001040348,0.0004160875,0.00236567,0.0006488813,0.0002570147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005851737,0.004836893,0.00003288788,0.0002091884,0.0002347993,0.000002755788,0.01111227,0.01559417,0.002904495,0.06358055,0.0503132,0.8505936],"study_design_scores_gemma":[0.008762256,0.002260148,0.007492448,0.003601037,0.0002137916,0.00009162219,0.004594747,0.6383153,0.1450232,0.04798586,0.13732,0.004339524],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01536961,0.00003533859,0.9523978,0.02052404,0.00338441,0.001475861,0.0001181749,0.001731002,0.004963819],"genre_scores_gemma":[0.9863998,0.000261214,0.004093061,0.002002219,0.00002873454,0.001231314,0.00032139,0.00003628665,0.005625943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9710302,"threshold_uncertainty_score":0.999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020447845432876,"score_gpt":0.3248733453248795,"score_spread":0.2846688668705507,"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."}}