{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000513147,0.0006209538,0.0005728359,0.0003047351,0.0007771544,0.001718142,0.001177537,0.000304961,0.001778429],"category_scores_gemma":[0.0006272398,0.0006277178,0.0002984944,0.0006781253,0.0004810934,0.004137686,0.0007642138,0.0002178433,0.006042119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008978634,"about_ca_system_score_gemma":0.0001172641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007926616,"about_ca_topic_score_gemma":0.0004451689,"domain_scores_codex":[0.9968858,0.00001188731,0.0007782346,0.001029747,0.0002677634,0.001026526],"domain_scores_gemma":[0.9977072,0.0001301433,0.0005310729,0.0008857195,0.0006942766,0.00005159322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009243138,0.001473938,0.1257116,0.002619357,0.0004688506,0.00003964648,0.0004669043,0.00004633684,0.001011976,0.1195724,0.4652525,0.2824122],"study_design_scores_gemma":[0.0006596696,0.00009004546,0.01643769,0.000258807,0.0002328907,0.00000557806,0.00009747312,0.00312604,0.001017416,0.002275756,0.97495,0.0008486594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920988,0.003246174,0.06197022,0.01462156,0.02168152,0.004114699,0.001374941,0.000858537,0.1000336],"genre_scores_gemma":[0.9787583,0.0003247851,0.0006857277,0.002001747,0.01294284,0.0001532529,0.0004086002,0.0001404533,0.004584277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5096975,"threshold_uncertainty_score":0.9996174,"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."}}