{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001290142,0.003249267,0.001843651,0.002803637,0.001610341,0.006491987,0.003156961,0.002005613,0.2595021],"category_scores_gemma":[0.006891413,0.0010621,0.001480025,0.006328367,0.0004550742,0.006043198,0.004248739,0.002668279,0.480384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230316,"about_ca_system_score_gemma":0.001654715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430809,"about_ca_topic_score_gemma":0.03286742,"domain_scores_codex":[0.9985441,0.0002087682,0.0001144159,0.0004995577,0.0003656052,0.0002676254],"domain_scores_gemma":[0.9967287,0.0004094201,0.0001495767,0.001081928,0.001242655,0.0003878386],"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":[0.00002011525,0.000003408868,0.00007095539,0.00005963777,0.000002999489,0.000002278462,0.000005674058,0.00001422693,0.00002770186,0.00007826769,0.998723,0.0009916403],"study_design_scores_gemma":[0.00005510681,0.00001109219,0.001174494,0.00008320222,0.000004987498,0.00001478319,0.00005442923,0.0002921499,0.0002126764,0.0004530702,0.9976206,0.00002326998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001903935,0.0000925959,0.0002863814,0.0003831679,0.0004473588,0.00004169407,0.9815744,0.009788974,0.007195081],"genre_scores_gemma":[0.0004681575,0.00008278884,0.0005034375,0.0002097841,0.00007126439,0.00008663149,0.9918768,0.0021193,0.004581689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7404979,"threshold_uncertainty_score":0.868121,"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."}}