{"id":"W4366958640","doi":"10.2139/ssrn.4425692","title":"Learnchain: Transparent and Cooperative Reinforcement Learning on Blockchain","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Blockchain; Reinforcement learning; Reinforcement; Computer science; Computer security; Artificial intelligence; Psychology; Social psychology","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":[0.002155863,0.0004276074,0.0007051862,0.0003632022,0.0007299672,0.001136806,0.00129087,0.001102373,0.005369837],"category_scores_gemma":[0.007049799,0.000352174,0.0003336243,0.0003909455,0.001252664,0.002199971,0.002870131,0.001577225,0.0007549569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942292,"about_ca_system_score_gemma":0.002187482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00381492,"about_ca_topic_score_gemma":0.004270409,"domain_scores_codex":[0.9990309,0.0003733338,0.00004425897,0.0001469036,0.0002700176,0.0001345298],"domain_scores_gemma":[0.9967577,0.001733493,0.000164051,0.0006653258,0.0003822199,0.0002971475],"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":[0.0007198459,0.0003278551,0.001344493,0.00009363788,0.00004644017,0.0001507828,0.0001824618,0.8128166,0.00337995,0.07079437,0.003373144,0.1067705],"study_design_scores_gemma":[0.00003830905,0.00003486768,0.0000571374,0.000003755205,0.000003274533,0.000008712948,0.000007796505,0.9805182,0.0006408578,0.01820924,0.0004735081,0.000004317308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0865792,0.0001489274,0.9040453,0.0003913355,0.0001036315,0.0001657344,0.0001222257,0.002200781,0.006242833],"genre_scores_gemma":[0.9120412,0.00008510267,0.08196995,0.00007287309,0.00003104218,0.0001689079,0.0001638222,0.0001492426,0.005317809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005369837,"threshold_uncertainty_score":0.01796389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342283770620769,"score_gpt":0.2482487017175456,"score_spread":0.2348258640113379,"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."}}