{"id":"W4408571566","doi":"10.3998/ticker.6968","title":"Confronting Student Distrust: Unexpected Findings from a Five-Week Business Intelligence Course ","year":2025,"lang":"en","type":"article","venue":"Ticker The Academic Business Librarianship Review","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002089213,0.0004802163,0.0008685406,0.0001077187,0.001184802,0.0004111262,0.003267302,0.0004324129,0.001982317],"category_scores_gemma":[0.005561075,0.0003363711,0.0001657377,0.004482555,0.001238386,0.00109281,0.0006674636,0.001322389,0.0005887261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908802,"about_ca_system_score_gemma":0.001211416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697173,"about_ca_topic_score_gemma":0.0001338766,"domain_scores_codex":[0.9952458,0.001125909,0.001122567,0.0007664267,0.0008654018,0.0008738896],"domain_scores_gemma":[0.9963415,0.001641445,0.0003539709,0.000842561,0.0006521136,0.0001683939],"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":[0.0002825253,0.0006887474,0.01968944,0.005091999,0.001004625,0.00008488726,0.05464413,0.00006027771,0.0003944979,0.5474545,0.2081542,0.1624501],"study_design_scores_gemma":[0.0004797889,0.00001929855,0.06336457,0.02412818,0.001197299,0.000007826354,0.007526635,0.0002266725,0.000221858,0.01806035,0.8835789,0.001188614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05527147,0.5254644,0.01733907,0.3163708,0.00511036,0.006750111,0.00009771802,0.001270561,0.07232543],"genre_scores_gemma":[0.7985531,0.1463955,0.0005647356,0.02157822,0.001268427,0.000385561,0.000125973,0.0001250321,0.03100341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7432816,"threshold_uncertainty_score":0.9999088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06133299621035149,"score_gpt":0.3463554242104961,"score_spread":0.2850224280001447,"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."}}