{"id":"W6932009749","doi":"10.5281/zenodo.7655578","title":"Blockchain Factors for Consumer Acceptance","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Order (exchange); Database transaction; Exploratory factor analysis; Technology acceptance model; Key (lock); Risk perception; Ask price","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":[0.003392396,0.0002499884,0.0002359256,0.001053982,0.0005291394,0.001675954,0.0002226795,0.0007402739,0.01556756],"category_scores_gemma":[0.01895784,0.0001343093,0.0006461164,0.0007697939,0.001050554,0.001199058,0.0008044281,0.0008913781,0.000649696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385061,"about_ca_system_score_gemma":0.0009214112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206737,"about_ca_topic_score_gemma":0.00159748,"domain_scores_codex":[0.9973471,0.001149399,0.000140898,0.0001498352,0.0009903781,0.0002223266],"domain_scores_gemma":[0.9614146,0.02613782,0.005002103,0.001286772,0.004086225,0.002072503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003748992,0.000728705,0.9470968,0.0001378698,0.0000937855,0.0002988564,0.01095238,0.0002968744,0.001408964,0.003672882,0.0005964538,0.03434148],"study_design_scores_gemma":[0.00002164293,0.0005518555,0.9785475,0.00007476796,0.00007093391,0.0003563325,0.01201499,0.002521908,0.0006951507,0.002236993,0.002862802,0.00004515069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990787,0.00008879551,0.000819064,0.0003544929,0.000008013568,0.00005842917,0.00004962556,0.00001261957,0.007821939],"genre_scores_gemma":[0.9993556,0.00003216688,0.0001635404,0.0000244784,0.00000513807,0.00001693399,0.00002578635,0.000002856774,0.0003735079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556756,"threshold_uncertainty_score":0.05207872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03756617700788587,"score_gpt":0.2594138233740061,"score_spread":0.2218476463661203,"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."}}