{"id":"W4318147681","doi":"10.1109/bigdata55660.2022.10020382","title":"A Framework for the Design, Development, Testing and Deployment of Reliable Big Data Platforms","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Big Data (Big Data)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Software deployment; Computer science; Scalability; Big data; Distributed computing; Reliability (semiconductor); Fault tolerance; Process (computing); Pipeline (software); Data science; Systems engineering; Software engineering; Database; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01148915,0.001631175,0.001015096,0.001780759,0.001970628,0.006735869,0.005956908,0.003560612,0.002529058],"category_scores_gemma":[0.01263356,0.001466992,0.001946866,0.001009358,0.005299695,0.005598854,0.005599977,0.004431737,0.001224309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002779607,"about_ca_system_score_gemma":0.008199648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005929203,"about_ca_topic_score_gemma":0.005731648,"domain_scores_codex":[0.9932532,0.002259456,0.0006739167,0.0007474697,0.002508733,0.000557156],"domain_scores_gemma":[0.9928603,0.002138383,0.0007730268,0.001728577,0.001648444,0.0008512865],"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":[0.00004258617,0.0001440316,0.0009847308,0.0005475085,0.00006967544,0.0005291897,0.0009571418,0.1611515,0.005667023,0.7894374,0.004581101,0.03588817],"study_design_scores_gemma":[0.00009846102,0.0003599758,0.0004303649,0.0008004114,0.0000956666,0.0004501413,0.0006494134,0.5183591,0.0076939,0.350369,0.1205662,0.0001273943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001612364,0.0002504588,0.9930333,0.0008742964,0.00006939592,0.0004124715,0.00005991506,0.0007243783,0.0029634],"genre_scores_gemma":[0.05570433,0.0006088589,0.9397196,0.0002549409,0.00007829457,0.001006164,0.0001972275,0.0002430444,0.002187521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01148915,"threshold_uncertainty_score":0.06076115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5304000793599303,"score_gpt":0.3686517544763004,"score_spread":0.1617483248836298,"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."}}