{"id":"W7066681525","doi":"","title":"AN INTEGRATED TECHNIQUE IN ACHIEVING THECONFIDENTIALITY, INTEGRITY AND ROBUSTNESS FOR BIGDATA TRANSMISSION","year":2017,"lang":"en","type":"other","venue":"UTPedia (Universiti Teknologi Petronas)","topic":"Scientific and Engineering Research Topics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backup; Robustness (evolution); Data integrity; Encryption; Data loss; Confidentiality; Data security; Data compression; Data transmission","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006869145,0.000336993,0.0004608538,0.0008932446,0.000184707,0.0001992896,0.001227089,0.0008358904,0.0009556983],"category_scores_gemma":[0.0001799189,0.000329385,0.000102234,0.0001846924,0.0003058833,0.0003376784,0.0002295711,0.001061085,0.0000166526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529471,"about_ca_system_score_gemma":0.0001576907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410355,"about_ca_topic_score_gemma":0.002633183,"domain_scores_codex":[0.9981952,0.0001182145,0.0001715083,0.0007530097,0.0002588411,0.0005032494],"domain_scores_gemma":[0.9986171,0.00009915904,0.0001587047,0.0008814791,0.00006796932,0.0001755537],"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":[0.000439354,0.0007109441,0.008038758,0.002805434,0.0004217159,0.001829111,0.0005040051,0.0003217695,0.00452239,0.006886142,0.6921882,0.2813322],"study_design_scores_gemma":[0.002086863,0.0002535527,0.005740259,0.001493182,0.0001370004,0.00009808037,0.001843718,0.01486032,0.0002523855,0.0003100491,0.9716958,0.001228818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03296068,0.001808302,0.8750401,0.0004875547,0.002989881,0.003033099,0.002532462,0.001600284,0.07954765],"genre_scores_gemma":[0.06660991,0.00145743,0.03142025,0.0000171933,0.0006920288,0.0001141496,0.002073597,0.0005173707,0.8970981],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8436198,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844340880276909,"score_gpt":0.3116555805808919,"score_spread":0.2732121717781228,"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."}}