{"id":"W4211232914","doi":"10.1109/tpc.47","title":"IEEE Transactions on Professional Communication","year":2023,"lang":"en","type":"paratext","venue":"IEEE Transactions on Professional Communication","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Professional communication; Computer science; Business communication; Multimedia; World Wide Web; Communication; Sociology","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005909945,0.000893301,0.0006700078,0.0009273567,0.001333233,0.0001088638,0.001441992,0.001057957,0.003623027],"category_scores_gemma":[0.000007943553,0.0009075221,0.0003701414,0.001068332,0.0001492784,0.0003388216,0.000005306233,0.003943327,0.01462062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00099463,"about_ca_system_score_gemma":0.0004824722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004226335,"about_ca_topic_score_gemma":0.0001030098,"domain_scores_codex":[0.9960631,0.0005438944,0.001148013,0.0006177902,0.0009886299,0.0006385458],"domain_scores_gemma":[0.9959975,0.0008376911,0.0002735868,0.002281704,0.0003175973,0.0002918825],"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":[0.00009386202,0.001231599,3.577839e-7,0.0005386367,0.000433093,0.000001384299,0.00175186,0.3934655,0.0006755631,0.0001406713,0.5821678,0.0194997],"study_design_scores_gemma":[0.00591763,0.0006517504,0.0006125137,0.02463968,0.0008886183,0.00008141244,0.004845226,0.1278616,0.07930457,0.001103185,0.7451854,0.008908447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006030809,0.003401527,0.8289464,0.006224224,0.08933979,0.005687477,0.002256901,0.005394232,0.05271865],"genre_scores_gemma":[0.5952898,0.01095181,0.00344341,0.0005887196,0.0002074521,0.00481124,0.00187584,0.0005938581,0.3822379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.825503,"threshold_uncertainty_score":0.9999669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574991533444742,"score_gpt":0.2996439222182682,"score_spread":0.2738940068838208,"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."}}