{"id":"W3111473535","doi":"10.1109/blockchain50366.2020.00060","title":"Candidate Set Formation Policy for Mining Pools","year":2020,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Computer science; Set (abstract data type); Programming language","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":[0.006678652,0.0009395034,0.001744393,0.00198838,0.002774872,0.003785168,0.003905671,0.002262861,0.01711315],"category_scores_gemma":[0.02383745,0.0006868604,0.001375101,0.002554026,0.001650701,0.006896408,0.003531969,0.001997498,0.002722703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272171,"about_ca_system_score_gemma":0.004776961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183974,"about_ca_topic_score_gemma":0.002095345,"domain_scores_codex":[0.994127,0.002226819,0.0004692277,0.001157428,0.001304622,0.000714877],"domain_scores_gemma":[0.984018,0.008669376,0.001363393,0.002793616,0.001630372,0.001525133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001915793,0.0005781298,0.004433527,0.0005696128,0.0001529894,0.0008276669,0.000999755,0.2367631,0.004323802,0.5628103,0.02328243,0.1633429],"study_design_scores_gemma":[0.000197718,0.0003953221,0.0005233759,0.0001088777,0.00005439522,0.0004851611,0.0002861409,0.7506033,0.005567948,0.216077,0.02563554,0.00006522684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0897181,0.0009991925,0.8725979,0.00375774,0.000260187,0.001165319,0.001892919,0.001875207,0.02773345],"genre_scores_gemma":[0.7193009,0.000634626,0.2556216,0.0004376256,0.0001880345,0.0009522486,0.002129167,0.0002830428,0.02045275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01711315,"threshold_uncertainty_score":0.05724919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06289138441228816,"score_gpt":0.3161501672546558,"score_spread":0.2532587828423677,"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."}}