{"id":"W6929906979","doi":"10.5281/zenodo.10829286","title":"THE IMPLICATIONS OF TECHNOLOGICAL ADVANCEMENT IMPACTS CONVENTIONAL BUSINESS-TO-BUSINESS MODELS","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Digital transformation; Supply chain; Pace; Digital strategy; Business transformation; Big data; Electronic business; Business model; Business intelligence; Business process","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":[0.005715654,0.0007210177,0.000409124,0.002211532,0.004746051,0.01690253,0.001426893,0.003325627,0.01305182],"category_scores_gemma":[0.01083916,0.0003268154,0.0007604641,0.00342292,0.008830031,0.02043756,0.007824832,0.006386783,0.003960054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007067613,"about_ca_system_score_gemma":0.005746006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003802342,"about_ca_topic_score_gemma":0.003463399,"domain_scores_codex":[0.9935594,0.001962753,0.0002710088,0.0007475596,0.002196318,0.001262985],"domain_scores_gemma":[0.9884799,0.005268881,0.001146058,0.001148687,0.002257638,0.001698828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004668428,0.0001309378,0.004387836,0.000219774,0.00002233089,0.0005584668,0.00229121,0.00119913,0.0004151067,0.9437809,0.009487522,0.03746002],"study_design_scores_gemma":[0.00002254779,0.0001476794,0.004723679,0.0008724949,0.00003118478,0.0006668789,0.01422479,0.002292459,0.000727113,0.5515153,0.4246944,0.00008147424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1080629,0.01936053,0.01811034,0.1481264,0.00222407,0.0001637659,0.0005393059,0.000156233,0.7032565],"genre_scores_gemma":[0.9168547,0.03189998,0.008052757,0.009238424,0.001107401,0.0001365931,0.0002466995,0.000134912,0.03232854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01690253,"threshold_uncertainty_score":0.05127931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436410281673064,"score_gpt":0.2634750510873768,"score_spread":0.2391109482706462,"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."}}