{"id":"W7132068854","doi":"","title":"The Digital Transformation of Better Life Supermarket: From Product-Centric to People-Centric","year":2023,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Digital transformation; Transformation (genetics); Set (abstract data type); Feature (linguistics)","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","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000973105,0.001521816,0.001446706,0.001594978,0.002268807,0.0009099152,0.001991152,0.0008044146,0.0006648761],"category_scores_gemma":[0.002715841,0.001307517,0.001005873,0.003966528,0.001546129,0.001429584,0.0004257815,0.001236164,0.01426075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551087,"about_ca_system_score_gemma":0.005289961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567862,"about_ca_topic_score_gemma":0.0002942746,"domain_scores_codex":[0.9886467,0.0005316978,0.003214197,0.001994628,0.00405376,0.001558968],"domain_scores_gemma":[0.9932649,0.001273536,0.001409322,0.002058095,0.0009642642,0.001029888],"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":[0.009771969,0.007087376,0.07435436,0.003090472,0.01362963,0.001058999,0.01505637,0.0132545,0.01610382,0.01640702,0.736804,0.09338149],"study_design_scores_gemma":[0.002285862,0.0001554694,0.08581086,0.001532245,0.0007444143,0.0001566886,0.0003718678,0.0005861833,0.002048551,0.00007922524,0.9045364,0.0016923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3195525,0.01820092,0.001439883,0.002937938,0.03886885,0.01388917,0.01432806,0.00185424,0.5889284],"genre_scores_gemma":[0.9543254,0.0009719695,0.00009830135,0.0002299679,0.006201681,0.0005750356,0.001199689,0.001509796,0.03488815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6347729,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465231113696739,"score_gpt":0.2132020956910526,"score_spread":0.2037368645773559,"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."}}