{"id":"W4389162853","doi":"10.53829/ntr201612gls","title":"Report on Apache Big Data North America 2016 and Spark Summit 2016","year":2016,"lang":"en","type":"article","venue":"NTT technical review","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; SPARK (programming language); Big data; Computer science; Geography; Operating system; Cartography; Programming language","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002206607,0.0002979987,0.0008121231,0.0000721681,0.0004276589,0.000007330233,0.0009269119,0.000297206,0.0008548091],"category_scores_gemma":[0.01099607,0.0001676982,0.00009196284,0.0004149738,0.0003240532,0.0001625462,0.0008515059,0.0008669007,0.005454656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978015,"about_ca_system_score_gemma":0.0006672735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005892635,"about_ca_topic_score_gemma":0.001616361,"domain_scores_codex":[0.9953501,0.0006807646,0.001675832,0.001017329,0.0004957334,0.0007803076],"domain_scores_gemma":[0.9929779,0.002340576,0.00067181,0.003285404,0.0002582378,0.0004660706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001705409,0.00004003485,0.01708335,0.001142459,0.000007949904,0.00004995988,0.00000821338,9.40283e-9,0.00002614172,0.0002488366,0.3487606,0.6326153],"study_design_scores_gemma":[0.00006595623,0.0001232896,0.00372572,0.01868299,0.00005026905,0.00001262898,0.00001980992,0.000003141852,0.000009621944,0.0004851866,0.9765813,0.0002400472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01315569,0.4650618,0.01415676,0.4051161,0.006965376,0.02229677,0.002124718,0.003306834,0.06781603],"genre_scores_gemma":[0.0805878,0.878607,0.001755086,0.02602919,0.00190092,0.0006044612,0.0002289591,0.0001406245,0.01014593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6323753,"threshold_uncertainty_score":0.9973347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4054180948859842,"score_gpt":0.5235726369743068,"score_spread":0.1181545420883225,"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."}}