{"id":"W3140317900","doi":"10.33423/jabe.v22i10.3721","title":"Towards a New Approach for Building Trust and Confidence in Machine Learning Data and Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 2)","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Raw data; Business intelligence; Context (archaeology); Data science; Blockchain; Data integration; Artificial intelligence; Knowledge management; Data mining; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008698127,0.0008191797,0.001328779,0.002346742,0.0009784796,0.004725157,0.002285136,0.002266926,0.00220708],"category_scores_gemma":[0.02705369,0.000865475,0.001545815,0.001635089,0.002761182,0.009052107,0.007290358,0.003706598,0.0006001033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956089,"about_ca_system_score_gemma":0.002271217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846024,"about_ca_topic_score_gemma":0.001819283,"domain_scores_codex":[0.9915868,0.003576135,0.0007769404,0.00123311,0.002504564,0.0003224275],"domain_scores_gemma":[0.9811258,0.009121031,0.00191123,0.004142206,0.003093503,0.0006062979],"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":[0.0002017994,0.0003933112,0.008702377,0.0004118762,0.0005212582,0.0005111204,0.001850814,0.2009774,0.007284677,0.5567573,0.002902847,0.2194852],"study_design_scores_gemma":[0.00001686341,0.00006657541,0.0005666908,0.00006903418,0.00004961489,0.0001117053,0.0001133461,0.7254744,0.001839537,0.2675816,0.004074631,0.00003605297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006740206,0.0001245613,0.9912443,0.0006413181,0.00002898993,0.00005505467,0.00005372418,0.0001135875,0.0009981305],"genre_scores_gemma":[0.3579328,0.0003553858,0.6385219,0.000311097,0.0001958279,0.0003091984,0.0003049481,0.0001182796,0.001950656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008698127,"threshold_uncertainty_score":0.0460006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07919251411055706,"score_gpt":0.2632290305834682,"score_spread":0.1840365164729112,"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."}}