{"id":"W2928594073","doi":"10.24251/hicss.2019.592","title":"Introduction to the Minitrack on Making Digital Transformation Real","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Transformation (genetics)","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.002340103,0.0006712667,0.0006288256,0.0008037742,0.0006810551,0.001662631,0.006666904,0.000255316,0.0001137736],"category_scores_gemma":[0.00007464974,0.0004134534,0.0003927992,0.001708446,0.0009283253,0.00446995,0.0003832169,0.0006986879,0.0002690362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470531,"about_ca_system_score_gemma":0.0002360755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004322728,"about_ca_topic_score_gemma":0.000006037878,"domain_scores_codex":[0.9922904,0.0000278837,0.001648374,0.0009991927,0.004324088,0.0007100565],"domain_scores_gemma":[0.9947624,0.0001596383,0.00114605,0.0003118133,0.003453439,0.0001666262],"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":[0.0001561849,0.00007917023,0.001206974,0.0002671502,0.00008915038,2.139318e-7,0.003129895,0.00328306,0.0006478016,0.986119,0.003968306,0.001053041],"study_design_scores_gemma":[0.0007662813,0.001052449,0.002274447,0.005561151,0.00004470705,0.0001393125,0.9752104,0.003777517,0.003655837,0.001223209,0.00541598,0.0008787157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1308641,0.000005195694,0.00003836373,0.008942074,0.005216231,0.001175019,0.0007066922,0.000213552,0.8528388],"genre_scores_gemma":[0.9973021,0.0000156242,0.00009576738,0.0001185221,0.0007594381,0.0001189729,0.000007764323,0.00003894178,0.00154289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9848958,"threshold_uncertainty_score":0.9998317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169782899888021,"score_gpt":0.2709377092794886,"score_spread":0.2392398802806084,"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."}}