{"id":"W572366602","doi":"","title":"H1N1: Are You Ready?","year":2009,"lang":"en","type":"article","venue":"Mass transit","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Commission; Business; Product (mathematics); Pandemic; Shut down; Advertising; Engineering; Transport engineering; Coronavirus disease 2019 (COVID-19); Medicine; Finance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002523166,0.0001357821,0.0001472618,0.00001965172,0.00008015426,0.00002913888,0.0002314541,0.00006909798,0.00378505],"category_scores_gemma":[0.00003040805,0.0001276724,0.00006722739,0.000192028,0.0000740534,0.0001764339,0.00001302038,0.0001280252,0.001687618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014333,"about_ca_system_score_gemma":0.000008473484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002258702,"about_ca_topic_score_gemma":0.0001045376,"domain_scores_codex":[0.9988398,0.00005815902,0.0001684995,0.0002894574,0.000332558,0.000311525],"domain_scores_gemma":[0.9993917,0.00003051719,0.00004333748,0.000370597,0.000003500404,0.0001603776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003627023,0.001053329,0.3324516,0.0000795257,0.00004895245,0.0003342931,0.006412187,0.009649461,0.2489726,0.00148649,0.09557362,0.3035752],"study_design_scores_gemma":[0.0004240337,0.00009652424,0.8310173,0.000009427079,0.00001535023,0.000004036785,0.00007620774,0.0004169077,0.003347786,0.002290198,0.1620318,0.0002703679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8285777,0.00006676932,0.02082371,0.0558125,0.0002328431,0.0004915444,0.00006112849,0.000487174,0.09344663],"genre_scores_gemma":[0.9914178,0.00000731122,0.0007165885,0.006491921,0.00003481951,0.000002603871,0.000004941644,0.000009283753,0.001314727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4985657,"threshold_uncertainty_score":0.9990897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591592468364107,"score_gpt":0.282528325970089,"score_spread":0.2566124012864479,"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."}}