{"id":"W7134171278","doi":"10.1109/bigdata66926.2025.11400864","title":"Blockchain and Responsible AI: Enhancing Transparency, Privacy, and Accountability Through Blockchain Hackathon","year":2025,"lang":"","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Korea Creative Content Agency","keywords":"Accountability; Blockchain; Key (lock); Confidentiality","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003578256,0.000886685,0.001080662,0.0003883014,0.001441791,0.001440609,0.0009259079,0.0005440454,0.00007613449],"category_scores_gemma":[0.0004929289,0.0008914156,0.0001912496,0.001634303,0.0008354671,0.0004202133,0.001262266,0.0009671879,0.00001113293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844386,"about_ca_system_score_gemma":0.001038822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226437,"about_ca_topic_score_gemma":0.0011358,"domain_scores_codex":[0.9931301,0.0008093836,0.001453796,0.002642576,0.0006273355,0.001336798],"domain_scores_gemma":[0.9957934,0.001152724,0.0002485648,0.002123371,0.0003392533,0.0003426718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00112401,0.001528186,0.02978763,0.004696509,0.0006904828,0.0002617674,0.1483421,0.002477114,0.165482,0.1386882,0.003874835,0.5030472],"study_design_scores_gemma":[0.005556461,0.001017093,0.01833959,0.004769505,0.0005885444,0.0003459502,0.006131675,0.6264579,0.2539444,0.06166104,0.01746442,0.00372342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6442608,0.00590017,0.3367699,0.007806421,0.0008762521,0.0007741794,0.00001063602,0.0002940493,0.003307559],"genre_scores_gemma":[0.9703541,0.000408864,0.02286085,0.002370894,0.0001293719,0.00002987547,0.000001350132,0.00003783153,0.003806868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239808,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555080295875095,"score_gpt":0.2796158489387083,"score_spread":0.2640650459799573,"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."}}