{"id":"W2487677731","doi":"10.4018/978-1-5225-0427-6.ch001","title":"Unleashing Artificial Intelligence onto Big Data: A Review","year":2016,"lang":"en","type":"review","venue":"Advances in bioinformatics and biomedical engineering book series","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Big data; Petabyte; Computer science; Artificial intelligence; Value (mathematics); Data science; Applications of artificial intelligence; Data mining; Machine learning","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":[0.001802247,0.0009248159,0.001474866,0.004935661,0.000514843,0.00263239,0.001285783,0.001643736,0.004085219],"category_scores_gemma":[0.004050608,0.000518034,0.0008137266,0.009474608,0.00124969,0.004256854,0.001359124,0.002707434,0.002518767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117578,"about_ca_system_score_gemma":0.003387035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130972,"about_ca_topic_score_gemma":0.003599315,"domain_scores_codex":[0.9992003,0.0001735645,0.0001111998,0.00009139083,0.0003752641,0.00004829038],"domain_scores_gemma":[0.9959377,0.002756434,0.0002900676,0.00008794644,0.0007321789,0.0001956799],"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":[0.00004401336,0.00006608222,0.0003369966,0.037128,0.0001199405,0.0002029022,0.0002230332,0.0003768712,0.0005088206,0.01048356,0.08334691,0.8671628],"study_design_scores_gemma":[0.00000557949,0.0000336419,0.0005828288,0.01161874,0.00007037404,0.0004308471,0.000136586,0.00007986876,0.0001241561,0.004714068,0.9821816,0.00002163467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000464265,0.998069,0.0001144676,0.0007104275,0.0002941073,0.000003358564,0.00001295215,0.000006867006,0.0007423775],"genre_scores_gemma":[0.0002631975,0.998726,0.000169096,0.0003550095,0.000282507,0.000004198385,0.00001562188,0.000001943085,0.0001824784],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004935661,"threshold_uncertainty_score":0.01366639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09783212561556967,"score_gpt":0.3293935503658961,"score_spread":0.2315614247503265,"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."}}