{"id":"W2970940384","doi":"10.17148/ijarcce.2019.8802","title":"Stabilize IoT Blockchain using Smart Rewarding Mechanism: Incremental Block Reward","year":2019,"lang":"en","type":"article","venue":"IJARCCE","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Blockchain; Computer science; Internet of Things; Block (permutation group theory); Mechanism (biology); Embedded system; Computer security; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008005368,0.0002278748,0.0002810289,0.0002035922,0.0002490822,0.00007914134,0.001200047,0.0002089669,0.00005112111],"category_scores_gemma":[0.00004171197,0.0002365067,0.0001037042,0.0007073875,0.00006670137,0.0001175538,0.0008376834,0.0003511903,0.0001812652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636374,"about_ca_system_score_gemma":0.00007388955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001312097,"about_ca_topic_score_gemma":0.00001059045,"domain_scores_codex":[0.997995,0.0000934332,0.0003398012,0.0006333915,0.0003542134,0.0005842015],"domain_scores_gemma":[0.9982585,0.00009285694,0.0001418117,0.00129802,0.0000797054,0.0001290927],"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":[0.00001599285,0.000347761,0.01085311,0.0000647966,0.00009101564,0.00001679319,0.001548885,0.0003252001,0.160956,0.8215805,0.0005747667,0.003625195],"study_design_scores_gemma":[0.002353237,0.0004402951,0.00140801,0.0001783836,0.00006515069,0.000544201,0.001075397,0.5445347,0.3313408,0.09489191,0.02110883,0.002059167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397939,0.0001233643,0.05661742,0.0008710232,0.0004169728,0.000500905,0.000005293654,0.00054231,0.001128755],"genre_scores_gemma":[0.9360204,0.000005125604,0.06331408,0.0003666696,0.00005825545,0.00003096342,0.000001342024,0.00002065961,0.0001824597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7266886,"threshold_uncertainty_score":0.9644464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630397735102254,"score_gpt":0.2454971175784412,"score_spread":0.2291931402274187,"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."}}