{"id":"W2757393902","doi":"10.5465/amp.2015.0167","title":"Reflections on Scientific Misconduct in Management: Unfortunate Incidents or a Normative Crisis?","year":2017,"lang":"en","type":"article","venue":"Academy of Management Perspectives","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto; McMaster University","funders":"","keywords":"Argument (complex analysis); Scholarship; Misconduct; Conformity; Normative; Anticipation (artificial intelligence); Political science; Competition (biology); Ideology; Legitimacy; Perspective (graphical); Sociology; Public relations; Law; Politics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002472312,0.0001968141,0.0002587608,0.0007094981,0.002102668,0.0002984806,0.001393999,0.0003301749,0.0004242195],"category_scores_gemma":[0.0002722542,0.0001792395,0.0001038857,0.0004770221,0.001020374,0.001258266,0.0003323111,0.001016091,0.0001623517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384375,"about_ca_system_score_gemma":0.00003530825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152093,"about_ca_topic_score_gemma":0.0006618198,"domain_scores_codex":[0.9974876,0.0002485919,0.0003790214,0.0005622758,0.0008330705,0.0004894601],"domain_scores_gemma":[0.999023,0.00009783787,0.0003903084,0.0003223296,0.00006587555,0.0001006386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001539512,0.000199025,0.0004473625,0.0000803448,0.000192523,0.00002477575,0.1193205,0.00002199794,0.00001513235,0.8619406,0.01497311,0.002630646],"study_design_scores_gemma":[0.001287906,0.00007450477,0.03647948,0.0004667396,0.0001144498,0.000001349642,0.6863765,0.00002893875,0.0003011104,0.08010948,0.1942571,0.0005024131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1132707,0.0001396732,0.00009971431,0.02111487,0.0004366142,0.001023687,0.00001776356,0.00007552258,0.8638214],"genre_scores_gemma":[0.9627555,0.001800341,0.0007418839,0.0003856933,0.00008973923,0.00004387004,0.000002194651,0.00001211519,0.03416867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8494848,"threshold_uncertainty_score":0.9991965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170128396516906,"score_gpt":0.4442210726609626,"score_spread":0.327208233009272,"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."}}