{"id":"W4382562365","doi":"10.1080/23268263.2023.2223818","title":"Cross-Disciplinary Research and Scholarship","year":2023,"lang":"en","type":"article","venue":"Voice and Speech Review","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Scholarship; Cross disciplinary; Discipline; Sociology; Political science; Social science; Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1128803,0.001004867,0.002569411,0.006125413,0.01157196,0.03570265,0.003687215,0.01156499,0.0286362],"category_scores_gemma":[0.2051086,0.0007640222,0.0009984386,0.008300943,0.03053533,0.02476026,0.03433105,0.0173997,0.009692842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01076312,"about_ca_system_score_gemma":0.03415945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136523,"about_ca_topic_score_gemma":0.002793124,"domain_scores_codex":[0.8518575,0.0891575,0.00636815,0.01211659,0.03094667,0.009553588],"domain_scores_gemma":[0.6457829,0.1673116,0.0108926,0.04309177,0.06318517,0.06973591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006822909,0.0001757749,0.002074552,0.001699065,0.000188699,0.0004384257,0.01779667,0.0002288419,0.0004405097,0.4248037,0.4135049,0.1385806],"study_design_scores_gemma":[0.00001889183,0.00005393295,0.0009583377,0.003209458,0.00001669806,0.0002333296,0.01151808,0.0001555637,0.0001614495,0.1168128,0.8668349,0.00002646794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003824492,0.156937,0.006823875,0.6799467,0.05999286,0.00008971931,0.00008306492,0.0001796762,0.09212263],"genre_scores_gemma":[0.2562051,0.1666278,0.01333412,0.3608087,0.07126009,0.0007407769,0.0003740716,0.0009489304,0.1297004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1128803,"threshold_uncertainty_score":0.5969752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6704574161198528,"score_gpt":0.6576873409442576,"score_spread":0.01277007517559514,"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."}}