{"id":"W4405615874","doi":"10.1088/1755-1315/1428/1/011001","title":"ICSAEES 2024 Preface","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.0005800273,0.0002565842,0.0001669388,0.00006708773,0.0004217408,0.000491211,0.0004358341,0.00006500899,0.0121324],"category_scores_gemma":[0.00005604202,0.0002206974,0.00004295827,0.0004423104,0.003491034,0.001889065,0.0006927124,0.0002232866,0.001499757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780478,"about_ca_system_score_gemma":0.00008350017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003476916,"about_ca_topic_score_gemma":0.0001772432,"domain_scores_codex":[0.9975094,0.00004393491,0.0002337984,0.0008356418,0.0007547378,0.0006224382],"domain_scores_gemma":[0.9990763,0.0000581011,0.00004027587,0.0003786116,0.000002286961,0.0004443996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005181886,0.0001064689,0.02001958,0.00007555994,0.00001542645,0.00007367602,0.003643685,0.00024834,0.8065107,0.00309551,0.001586602,0.1645727],"study_design_scores_gemma":[0.0002750948,0.000449921,0.4848485,0.00007671624,0.00002908109,0.0001706522,0.001735301,0.005609212,0.1402276,0.002064782,0.3635181,0.0009949795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802867,0.0002421205,0.000158474,0.001271343,0.0003968393,0.0002272221,0.00006463945,0.0001295214,0.01722314],"genre_scores_gemma":[0.9904176,0.0003456365,0.0005738852,0.0004354797,0.00003478498,0.00001323436,0.000007051832,0.00001344281,0.008158885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6662831,"threshold_uncertainty_score":0.9992777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094881469578423,"score_gpt":0.2610023865903709,"score_spread":0.2400535718945866,"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."}}