{"id":"W4310435601","doi":"10.5281/zenodo.7381186","title":"[\"LIVE@STREAM\"]]* Mosconi Cup 2022 Live Coverage TV","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006656462,0.0001929958,0.0002670726,0.0002321336,0.002328779,0.000272257,0.0008640998,0.00004012972,0.1925445],"category_scores_gemma":[0.0007259877,0.0002177136,0.0001037843,0.0006527431,0.0001546679,0.0002074634,0.002528402,0.0005421906,0.0181326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194809,"about_ca_system_score_gemma":0.0000198455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005366018,"about_ca_topic_score_gemma":4.647569e-7,"domain_scores_codex":[0.9972603,0.0005544709,0.0003033013,0.0006063966,0.0008031122,0.0004723673],"domain_scores_gemma":[0.9982135,0.00004041237,0.0001379623,0.0008578161,0.0003983506,0.0003519153],"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":[0.0007639934,0.0008290621,0.0003968959,0.0001725003,0.0002154995,0.0005298693,0.001809334,0.0002040815,0.004779011,0.001963874,0.9227424,0.06559348],"study_design_scores_gemma":[0.00137416,0.0005950445,0.005335804,0.00002065933,0.00003515799,0.0003296244,0.0007569375,0.0004097797,0.0001105202,0.0001061027,0.9907079,0.0002183278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4883265,0.001093778,0.001307964,0.003859238,0.0006746724,0.003000444,0.0129354,0.004533345,0.4842687],"genre_scores_gemma":[0.9768186,0.0001875012,0.0001185447,0.001001389,0.0002249219,3.629772e-7,0.01201438,0.001690815,0.007943475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884921,"threshold_uncertainty_score":0.99897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330955661903461,"score_gpt":0.251900098006938,"score_spread":0.2285905413879034,"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."}}