{"id":"W2101468243","doi":"10.1093/aje/kwu085","title":"Big Data: A Revolution That Will Transform How We Live, Work, and Think","year":2014,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":630,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Work (physics); Big data; Data science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003249492,0.0001848359,0.000686889,0.0002353443,0.00009943196,0.00005619671,0.0006630036,0.00007269243,0.00004507124],"category_scores_gemma":[0.002592848,0.0001314163,0.00007823513,0.0003849983,0.0005827742,0.001736983,0.0001896042,0.000329343,0.00002058367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950037,"about_ca_system_score_gemma":0.00002316036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003088961,"about_ca_topic_score_gemma":0.00007424154,"domain_scores_codex":[0.9985824,0.0001383253,0.0004887804,0.0002978978,0.0001360441,0.000356569],"domain_scores_gemma":[0.9973456,0.0008776199,0.001148214,0.0004283614,0.0001623611,0.00003789128],"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":[0.0001648249,0.00003813285,0.09027391,0.00006514919,0.0000653356,0.000006753448,0.00005729726,0.00001944995,0.00001802554,0.006233265,0.04178014,0.8612777],"study_design_scores_gemma":[0.0002739565,0.0001170341,0.03180411,0.0001902193,0.0001349207,0.00009330111,0.0003936854,0.001458936,0.000003163402,0.01351299,0.9517776,0.0002400635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1755662,0.008454774,0.5222848,0.2873799,0.003775927,0.0003125491,0.00002338889,0.0000922457,0.002110193],"genre_scores_gemma":[0.9859837,0.003229645,0.002913106,0.00507856,0.002672456,0.000001292043,0.00003138088,0.00001816716,0.00007165618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9099975,"threshold_uncertainty_score":0.5358999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505369840688509,"score_gpt":0.3160871600420506,"score_spread":0.1655501759731997,"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."}}