{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01614836,0.001298182,0.001513061,0.008629333,0.001100494,0.004047118,0.002022713,0.002142043,0.01573922],"category_scores_gemma":[0.02809591,0.0009057063,0.002250183,0.008344159,0.0007137746,0.00520466,0.003987448,0.003443361,0.01096902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004960635,"about_ca_system_score_gemma":0.02479547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262959,"about_ca_topic_score_gemma":0.02083983,"domain_scores_codex":[0.9908568,0.00100086,0.001247535,0.000607159,0.005611396,0.0006761848],"domain_scores_gemma":[0.9601754,0.005806172,0.003678473,0.0006834114,0.02648676,0.003169747],"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":[0.00007694629,0.00003438747,0.0002955917,0.008119973,0.00008485817,0.00005171558,0.00007006219,0.0001227928,0.0002835861,0.001489478,0.7954974,0.1938732],"study_design_scores_gemma":[0.00001102837,0.00003641996,0.0008319108,0.005979595,0.00007049879,0.00004821227,0.00005811163,0.00001907379,0.0001358134,0.0003375423,0.992457,0.00001470172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0005009198,0.9085556,0.00103877,0.04541059,0.02125027,0.0003249844,0.0026235,0.0003350806,0.01996029],"genre_scores_gemma":[0.003609513,0.9436222,0.001658877,0.01772087,0.01094694,0.0007913006,0.00731033,0.0002308912,0.01410923],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01614836,"threshold_uncertainty_score":0.08540171,"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."}}