{"id":"W7074053297","doi":"","title":"CP-BDHCA: Blockchain-Based Confidentiality-Privacy Preserving Big Data Scheme for Healthcare Clouds and Applications","year":2022,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Big data; Scheme (mathematics); Cloud computing; Health care; Key (lock)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001751602,0.0003289076,0.00106127,0.0005340877,0.001186718,0.00003458706,0.003155569,0.0003065021,0.003029294],"category_scores_gemma":[0.0002164079,0.0005025875,0.0003831663,0.0008155896,0.001151147,0.0001920806,0.004728684,0.000580209,0.0001549202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004341739,"about_ca_system_score_gemma":0.0002031441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909758,"about_ca_topic_score_gemma":0.0006109694,"domain_scores_codex":[0.9969571,0.00009885304,0.0007030147,0.001409583,0.0002393179,0.0005921721],"domain_scores_gemma":[0.9962443,0.0005090491,0.0009272041,0.001807081,0.0002093413,0.0003029846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005022471,0.005460784,0.04637498,0.003057078,0.002304529,0.0001861494,0.001971446,0.001738582,0.003461877,0.375006,0.542623,0.01279315],"study_design_scores_gemma":[0.005201996,0.0004996518,0.007113161,0.0001025616,0.0002630482,0.00002220895,0.00536421,0.0053814,0.00007280983,0.007045361,0.9678059,0.001127704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.409838,0.01336405,0.272594,0.02562652,0.003494535,0.01505806,0.06287842,0.001439876,0.1957066],"genre_scores_gemma":[0.9701975,0.0004454096,0.01327304,0.0001787759,0.00008384495,0.000005242814,0.0002099354,0.0000417243,0.01556453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5603595,"threshold_uncertainty_score":0.9997426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08050828836488735,"score_gpt":0.2380253570188637,"score_spread":0.1575170686539764,"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."}}