{"id":"W7039764432","doi":"","title":"Missile warnings and emergency prepardness","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Missile; Emergency response; Government (linguistics); Pandemic","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":[],"consensus_categories":[],"category_scores_codex":[0.0005071196,0.0003456206,0.0002714384,0.001182909,0.002878348,0.004512114,0.0005470466,0.001940591,0.1767124],"category_scores_gemma":[0.006944966,0.0002786881,0.0001874264,0.001610354,0.001333259,0.002225823,0.001559078,0.001810745,0.02764135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004179921,"about_ca_system_score_gemma":0.005236387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3142627,"about_ca_topic_score_gemma":0.4742326,"domain_scores_codex":[0.999365,0.00008813663,0.00001738422,0.00004786762,0.0003161307,0.0001653799],"domain_scores_gemma":[0.997311,0.0005474191,0.0002242978,0.00007367932,0.001256918,0.0005867494],"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":[0.00003279157,0.00001182098,0.001186382,0.00006157656,0.00000211538,0.00009662285,0.000263613,0.0001856781,0.00005699835,0.01541153,0.9285141,0.05417677],"study_design_scores_gemma":[0.000006378096,0.00001473231,0.004290584,0.0003230761,0.000005138677,0.0001515769,0.00177683,0.0002452792,0.0001038661,0.005399941,0.9876579,0.00002469999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003660314,0.01727317,0.001116525,0.09119231,0.004865913,0.00003586769,0.001867978,0.0003015615,0.8796864],"genre_scores_gemma":[0.09308881,0.02913277,0.001001792,0.007204966,0.001610795,0.00002820425,0.001031292,0.0002005343,0.8667008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3142627,"threshold_uncertainty_score":0.624867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00358378107953088,"score_gpt":0.172368379813015,"score_spread":0.1687845987334841,"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."}}