{"id":"W4402568855","doi":"10.1109/tcss.2024.3450494","title":"Incentivizing Socio-Ethical Integrity in Decentralized Machine Learning Ecosystems for Collaborative Knowledge Sharing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Guangdong Provincial Pearl River Talents Program; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Knowledge sharing; Ecosystem; Knowledge management; Computer science; Business; Computer security; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008451375,0.000448443,0.0006400061,0.0007640161,0.002361989,0.003588779,0.001604658,0.002508814,0.004389825],"category_scores_gemma":[0.03751711,0.000407783,0.0005183657,0.0006621851,0.002994345,0.005216754,0.006034114,0.001639786,0.0004530633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215081,"about_ca_system_score_gemma":0.003968969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305605,"about_ca_topic_score_gemma":0.001878686,"domain_scores_codex":[0.9937537,0.004214721,0.0001819705,0.0004796164,0.00077863,0.0005912931],"domain_scores_gemma":[0.9759136,0.01523146,0.002817359,0.003236726,0.001365978,0.001434885],"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":[0.0004322943,0.0005074978,0.01230647,0.0002731551,0.0001175645,0.0007356167,0.001958528,0.3705018,0.009707043,0.5510511,0.002157383,0.05025164],"study_design_scores_gemma":[0.00008952466,0.0001557932,0.001204798,0.00004798783,0.00002383869,0.0001334198,0.0007791753,0.6871955,0.002045636,0.3045299,0.003758741,0.00003581824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4312436,0.0001726486,0.5436574,0.003820921,0.00006331066,0.0004442477,0.00009896085,0.0003350469,0.02016387],"genre_scores_gemma":[0.979503,0.0000407775,0.01922255,0.00009057694,0.000008481155,0.0001037177,0.00001709073,0.00001271158,0.001001084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008451375,"threshold_uncertainty_score":0.04469568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083418149595526,"score_gpt":0.3123095419422207,"score_spread":0.2814753604462655,"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."}}