{"id":"W3052245613","doi":"10.1109/icbc48266.2020.9169424","title":"Monetization using Blockchains for IoT Data Marketplace","year":2020,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Monetization; Computer science; MQTT; Cloud computing; Computer security; Message queue; Data exchange; Asset (computer security); Cryptocurrency; Overhead (engineering); Database; Internet of Things; World Wide Web; Computer network; Operating system","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":[0.006360912,0.0005020784,0.001007108,0.00117284,0.002051312,0.003286691,0.001723665,0.001561162,0.004905631],"category_scores_gemma":[0.01176125,0.0005682046,0.0005480411,0.001361125,0.002520855,0.006050082,0.003718957,0.001924815,0.001081081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439547,"about_ca_system_score_gemma":0.004505207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003899476,"about_ca_topic_score_gemma":0.004192613,"domain_scores_codex":[0.9949363,0.001913393,0.0003950149,0.000633113,0.001569058,0.0005530938],"domain_scores_gemma":[0.9893365,0.003994416,0.001169653,0.003719825,0.001088084,0.0006914072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001755983,0.0007001738,0.007121896,0.0003842729,0.0001403298,0.001104798,0.001578041,0.2924783,0.0374257,0.4081047,0.005871402,0.2433344],"study_design_scores_gemma":[0.0002083704,0.0002173626,0.0004839832,0.00005344351,0.00003469933,0.0002028562,0.0001026707,0.849392,0.02450093,0.1103075,0.01443121,0.00006489202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.123116,0.0003724446,0.860384,0.000937211,0.0001418291,0.0007083526,0.0002126442,0.004444301,0.009683363],"genre_scores_gemma":[0.8907894,0.0002123752,0.1017016,0.0001358697,0.0000424869,0.0003142352,0.0002020797,0.0001342636,0.006467756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006360912,"threshold_uncertainty_score":0.03364015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09530604073175745,"score_gpt":0.2977914896827052,"score_spread":0.2024854489509477,"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."}}