{"id":"W4285813844","doi":"10.1109/iwcmc55113.2022.9824790","title":"A blockchain-based storage intelligent","year":2022,"lang":"en","type":"article","venue":"2022 International Wireless Communications and Mobile Computing (IWCMC)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Blockchain; Computer science; Node (physics); Distributed data store; Computer network; Upload; Distributed computing; Block (permutation group theory); Erasure code; Cryptography; Server; Computer security; Scalability; Decoding methods; Database; 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":[0.0007558927,0.000455723,0.0008490859,0.0007720753,0.002153678,0.00261347,0.001962695,0.001254339,0.01463473],"category_scores_gemma":[0.001705692,0.0003908717,0.0004778707,0.001677834,0.001238046,0.003859462,0.003177828,0.001106343,0.004137387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419462,"about_ca_system_score_gemma":0.002863109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004941386,"about_ca_topic_score_gemma":0.003870516,"domain_scores_codex":[0.9989762,0.0001494887,0.00008648205,0.0002038689,0.0004271964,0.0001568447],"domain_scores_gemma":[0.9988725,0.0001863265,0.00008228481,0.0003836415,0.0003177559,0.0001574196],"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":[0.001411803,0.0003471219,0.002468079,0.0007473018,0.0001354634,0.001613481,0.0008717248,0.1533536,0.03851803,0.4707324,0.05016468,0.2796364],"study_design_scores_gemma":[0.0002999791,0.0003190821,0.0005839981,0.0001449988,0.00009975569,0.0008656561,0.0001598587,0.6206537,0.02965756,0.1442115,0.2028843,0.0001197188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05868203,0.003161879,0.8498921,0.002790461,0.0007982309,0.0008567501,0.001993839,0.006983561,0.07484119],"genre_scores_gemma":[0.7681326,0.00244853,0.1485343,0.0005246059,0.0002891918,0.0006386175,0.002037092,0.0003146857,0.07708029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01463473,"threshold_uncertainty_score":0.04895806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148575820394348,"score_gpt":0.2664612124109358,"score_spread":0.251603630371501,"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."}}