{"id":"W2611565958","doi":"10.1109/ithings-greencom-cpscom-smartdata.2016.102","title":"Blockchain as a Service for IoT","year":2016,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":429,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Blockchain; Distributed ledger; Computer science; Ledger; Cloud computing; Internet of Things; Service (business); Payment; Computer security; Distributed database; Distributed computing; Enhanced Data Rates for GSM Evolution; Database; Computer network; World Wide Web; Operating system; Telecommunications; Business; Accounting","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":[0.001550088,0.0004618451,0.0006049345,0.0006472647,0.001125367,0.002620818,0.0009602976,0.00162165,0.008790843],"category_scores_gemma":[0.003480625,0.000286841,0.0003048794,0.001931795,0.0008709249,0.003383582,0.002336085,0.00156214,0.002864924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262903,"about_ca_system_score_gemma":0.002678163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003429167,"about_ca_topic_score_gemma":0.002466916,"domain_scores_codex":[0.9980551,0.0005062155,0.0001061102,0.0001197469,0.0009862707,0.0002265268],"domain_scores_gemma":[0.9981512,0.0004298553,0.0001332943,0.0005289603,0.0004150697,0.000341644],"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":[0.001588963,0.000486058,0.003323007,0.0009632294,0.0001109042,0.001115196,0.0005834345,0.1454758,0.02986746,0.4215238,0.08348688,0.3114752],"study_design_scores_gemma":[0.0002415568,0.0002715762,0.0006965391,0.0001511372,0.00004067077,0.0003831589,0.0001566604,0.5599319,0.01063797,0.1889747,0.2384378,0.00007639949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06170831,0.005029369,0.8201545,0.004277636,0.001178589,0.001266289,0.001402184,0.01514999,0.08983299],"genre_scores_gemma":[0.8137471,0.004165927,0.1405623,0.0006518465,0.000332019,0.0008480925,0.002800843,0.0009929732,0.03589892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008790843,"threshold_uncertainty_score":0.02940834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244081130548883,"score_gpt":0.246970737574338,"score_spread":0.2345299262688492,"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."}}