{"id":"W2034409422","doi":"10.1177/1098214008316655","title":"Cross-Disciplinarization: A New Talisman for Evaluation?","year":2008,"lang":"en","type":"article","venue":"American Journal of Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cross disciplinary; Discipline; Field (mathematics); Engineering ethics; Face (sociological concept); Management science; Sociology; Interdisciplinarity; Computer science; Data science; Social science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0233068,0.0001539974,0.0003979249,0.0005201458,0.0004021183,0.0001923397,0.0004576409,0.0000430967,0.003820667],"category_scores_gemma":[0.006783783,0.0001159314,0.0002466225,0.001263135,0.0002324815,0.001187666,0.0000388299,0.0001299725,0.00009066455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781866,"about_ca_system_score_gemma":0.003654215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001476363,"about_ca_topic_score_gemma":0.00001845535,"domain_scores_codex":[0.9909388,0.0007187479,0.00154122,0.0002994675,0.006284186,0.0002175095],"domain_scores_gemma":[0.9870718,0.0009452715,0.002296606,0.0004118052,0.009064811,0.0002096677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004446738,0.000177891,0.06797379,0.000003169107,0.00009690419,0.000002322555,0.006549357,0.1139909,0.0004107434,0.0008017536,0.02399519,0.7855533],"study_design_scores_gemma":[0.007515629,0.002455994,0.4717497,0.00003966225,0.0003004572,0.0003063045,0.002725441,0.4497278,0.000543059,0.04557355,0.01869688,0.0003654683],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142166,0.0001860889,0.07712578,0.004286835,0.001019204,0.000773086,0.000006413502,0.00001080858,0.002375198],"genre_scores_gemma":[0.9880214,0.00002724109,0.009464083,0.0004095201,0.0007562141,0.00003797961,0.00002224966,0.00001457347,0.001246709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851878,"threshold_uncertainty_score":0.99709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2784832306773482,"score_gpt":0.5746443419319662,"score_spread":0.296161111254618,"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."}}