{"id":"W3197727390","doi":"10.2139/ssrn.3314856","title":"An Approximation Method of Parallel Processing System with Big Data","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Assumption University","funders":"","keywords":"Computer science; Big data; Parallel computing; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.003122786,0.0001236795,0.0002024521,0.0001408983,0.00007599367,0.0001653837,0.002551616,0.00004748743,6.502564e-7],"category_scores_gemma":[0.00001471646,0.00009295667,0.00001961561,0.0003165634,0.00001883694,0.001656172,0.0002118024,0.0005966837,0.000004370092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514867,"about_ca_system_score_gemma":0.001696927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004810764,"about_ca_topic_score_gemma":0.00005747788,"domain_scores_codex":[0.9979922,0.0001530942,0.0002739551,0.0003607299,0.0003659678,0.0008541181],"domain_scores_gemma":[0.998205,0.00002818944,0.00039354,0.001206415,0.0001159847,0.00005084192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003495274,0.00007641668,0.0009159536,0.00008786612,0.00005872053,0.00000275302,0.0002811809,0.0001514157,0.001495765,0.2819826,0.0000314617,0.7148809],"study_design_scores_gemma":[0.001467301,0.002789113,0.0005378757,0.0006778378,0.00007255752,0.005188033,0.002692318,0.9244849,0.003318383,0.05763597,0.0004774681,0.0006582399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006401069,0.0002197002,0.9925331,0.00007956132,0.00005607253,0.0001485492,0.000003908754,0.0001630299,0.0003949818],"genre_scores_gemma":[0.5772222,0.00002786096,0.4226382,0.000008191935,0.00005123652,0.000002495706,0.00001378184,0.00001018781,0.00002582439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9243335,"threshold_uncertainty_score":0.474158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697878274162958,"score_gpt":0.292842205595772,"score_spread":0.2658634228541424,"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."}}