{"id":"W3124472169","doi":"10.24149/gwp268","title":"Big Data Analytics: A New Perspective","year":2016,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Covariate; Computer science; Statistical inference; Context (archaeology); Inference; Econometrics; Statistical hypothesis testing; Model selection; Data mining; Toolbox; Set (abstract data type); Machine learning; Artificial intelligence; Statistics; Mathematics","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":[0.02730582,0.002206753,0.004043669,0.007702416,0.001784183,0.01945653,0.005203117,0.006577257,0.004157754],"category_scores_gemma":[0.06127391,0.001750823,0.002392324,0.01042763,0.01199358,0.03583204,0.006700302,0.01765293,0.001640522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003203549,"about_ca_system_score_gemma":0.004008838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923899,"about_ca_topic_score_gemma":0.001813468,"domain_scores_codex":[0.9825161,0.009410104,0.001010227,0.002099859,0.004577834,0.0003859848],"domain_scores_gemma":[0.8694441,0.1104161,0.002332533,0.0107381,0.004790462,0.002278628],"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":[0.00007044111,0.00006347646,0.002113451,0.001314406,0.0002335428,0.0001733769,0.0006101317,0.006459002,0.0002400141,0.8874699,0.02396888,0.07728337],"study_design_scores_gemma":[0.00001685883,0.00002334846,0.0005379486,0.0004161901,0.00003066968,0.0001263502,0.0003763744,0.01833331,0.0001297045,0.9229023,0.05706634,0.00004072048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003077042,0.1157255,0.6926562,0.1637731,0.004608895,0.0001865529,0.001915475,0.0009540789,0.01710309],"genre_scores_gemma":[0.148837,0.1473657,0.6244089,0.02857926,0.04125755,0.000815487,0.00246195,0.0008516435,0.005422428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02730582,"threshold_uncertainty_score":0.1444088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2037723058995163,"score_gpt":0.3833688596067316,"score_spread":0.1795965537072153,"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."}}