{"id":"W2898458965","doi":"10.18261/issn.1504-2871-2018-03-04","title":"Er du klar for digitalisering?","year":2018,"lang":"da","type":"article","venue":"Praktisk økonomi & finans","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Humanities; Philosophy; Political science; Art","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":[0.009574898,0.001137302,0.0008301902,0.002677353,0.004769907,0.03329781,0.002117183,0.004933128,0.04668946],"category_scores_gemma":[0.02842589,0.0005934728,0.0009983772,0.00371405,0.01138984,0.03872079,0.00807614,0.007051485,0.02142579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006987253,"about_ca_system_score_gemma":0.006694687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005785611,"about_ca_topic_score_gemma":0.005238392,"domain_scores_codex":[0.9891155,0.004071775,0.000652983,0.001771349,0.003330626,0.001057828],"domain_scores_gemma":[0.9859915,0.004823847,0.001006581,0.003439589,0.003260934,0.001477481],"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":[0.000118073,0.00008991592,0.002136505,0.001232255,0.00005060766,0.0004193429,0.01138032,0.0004356933,0.00140436,0.5101842,0.2181198,0.254429],"study_design_scores_gemma":[0.00001163131,0.00002468018,0.0007113593,0.00086512,0.00002379918,0.0002927789,0.008595934,0.0001961578,0.000831908,0.08257279,0.9058322,0.00004157387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0151743,0.05389394,0.02862199,0.3745281,0.01313048,0.0001819551,0.0009677999,0.001147413,0.512354],"genre_scores_gemma":[0.3655591,0.08453284,0.03755067,0.05990945,0.008131341,0.000393859,0.00195213,0.002068055,0.4399025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04668946,"threshold_uncertainty_score":0.1561918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05702351163072591,"score_gpt":0.2781727466202927,"score_spread":0.2211492349895668,"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."}}