{"id":"W2964933388","doi":"10.29173/cais1052","title":"I dentifying Core Competencies for Records Management and Information Governance Professionals: A Job Advertisement A nalysis","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Core competency; Business; Order (exchange); Position (finance); Public relations; Core (optical fiber); Empirical research; Marketing; Political science; Engineering; Finance","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002227047,0.0001621723,0.0002371934,0.0001026935,0.0002923547,0.001512563,0.0005218207,0.00001905987,0.00004394144],"category_scores_gemma":[0.0006220026,0.0001173367,0.0001141148,0.00008180298,0.0005145655,0.009371496,0.0004103567,0.0000657779,0.000003456712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002904521,"about_ca_system_score_gemma":0.00003328808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006085408,"about_ca_topic_score_gemma":0.00003563791,"domain_scores_codex":[0.9988523,0.000005433445,0.0003999568,0.0001676068,0.0003597413,0.000214973],"domain_scores_gemma":[0.9899222,0.00005858158,0.0005159141,0.00008291451,0.009375808,0.00004460247],"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":[0.0001579002,0.0001050165,0.004866325,0.0009453206,0.0002414252,1.929363e-7,0.04447578,5.39593e-7,0.0000861126,0.9197362,0.006586122,0.02279908],"study_design_scores_gemma":[0.0009364408,0.000546873,0.222838,0.001219019,0.0002714494,0.000004642996,0.01324578,0.000769653,0.0009462693,0.07377341,0.6850749,0.0003736372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773949,0.00004175895,0.00006208408,0.001341849,0.0002093744,0.0005966746,0.0004755542,0.00002639574,0.1198514],"genre_scores_gemma":[0.9949185,0.00007729597,0.0007484416,0.0003503217,0.0001059849,0.0001053763,0.00001572602,0.000008214362,0.003670141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8459628,"threshold_uncertainty_score":0.9995239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446850350255943,"score_gpt":0.2405489303011895,"score_spread":0.2060804267986301,"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."}}