{"id":"W4399577833","doi":"10.1016/j.aej.2024.05.106","title":"Crafting efficient blockchain adoption strategies under risk and uncertain environments","year":2024,"lang":"en","type":"article","venue":"Alexandria Engineering Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Blockchain; Risk analysis (engineering); Business; Computer science; Process management; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.000443315,0.0001345189,0.0001048226,0.000185576,0.0001979792,0.0003757265,0.0002668192,0.00009483938,0.000008639077],"category_scores_gemma":[0.00001583857,0.0001218056,0.00004297954,0.0002343838,0.0000354372,0.0001093682,0.0001050264,0.000498583,0.00001021684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006044695,"about_ca_system_score_gemma":0.00003210298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000501711,"about_ca_topic_score_gemma":6.927231e-7,"domain_scores_codex":[0.9991303,0.00002467764,0.0002003518,0.0002505283,0.0001548325,0.0002393309],"domain_scores_gemma":[0.9995689,0.00008665423,0.00004456479,0.0002055499,0.00001076224,0.00008361754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001867458,0.0000421599,0.0001815624,0.00003178782,0.00007555624,0.00007209441,0.0007915618,0.749827,0.005140635,0.2199737,0.00008566221,0.02377637],"study_design_scores_gemma":[0.0001458945,0.00003324134,0.001647508,0.00006058014,0.00001549521,0.000500663,0.0001050189,0.9904386,0.0002919612,0.004023113,0.00258356,0.0001543632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3115908,0.00170467,0.6859235,0.0003142873,0.0002172256,0.00005062874,0.00000114697,0.0001663798,0.00003139236],"genre_scores_gemma":[0.9708452,0.0002194144,0.02877333,0.00001258798,0.00009675977,0.000009574295,4.747325e-7,0.00001128282,0.0000313909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6592544,"threshold_uncertainty_score":0.4967089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006376042164851587,"score_gpt":0.2099023888186009,"score_spread":0.2035263466537493,"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."}}