{"id":"W4240064625","doi":"10.17975/sfj-2017-008","title":"What can big data tell us about past, current, and future patterns of infection?","year":2017,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Big data; Data science; History; Computer science; Data mining; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0192609,0.001344918,0.002147926,0.006986212,0.0009187151,0.008471114,0.002526906,0.003333994,0.002879243],"category_scores_gemma":[0.1115967,0.001073072,0.001480533,0.008261396,0.002119779,0.0167147,0.002862186,0.005360872,0.002202919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374367,"about_ca_system_score_gemma":0.002576961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008585631,"about_ca_topic_score_gemma":0.009508845,"domain_scores_codex":[0.9922342,0.003409358,0.001088571,0.001037582,0.001915011,0.0003152218],"domain_scores_gemma":[0.9030071,0.06411251,0.01027294,0.009878502,0.00957084,0.003158005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007778693,0.0002619126,0.5001985,0.0064285,0.003262534,0.0003276328,0.001604952,0.004600417,0.0007060925,0.02174526,0.1487633,0.311323],"study_design_scores_gemma":[0.0002076291,0.0004172839,0.2785175,0.01205799,0.001805424,0.001346536,0.006825335,0.02068792,0.001697886,0.2953329,0.3805344,0.0005691184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1023816,0.2346595,0.05703386,0.4368919,0.009467481,0.0004411454,0.1329776,0.001342842,0.02480422],"genre_scores_gemma":[0.6062809,0.1594415,0.06091002,0.06963252,0.01805917,0.0006077555,0.08238699,0.0004734668,0.00220769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0192609,"threshold_uncertainty_score":0.1018626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669557529102045,"score_gpt":0.3329344087715539,"score_spread":0.2659786558613494,"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."}}