{"id":"W2331040011","doi":"10.1785/0220130118","title":"Communications in the Aftermath of a Major Earthquake: Bringing Science to Citizens to Promote Recovery","year":2014,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Citation; Icon; Download; Library science; History; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008173779,0.0001238149,0.0002212001,0.0005833774,0.0005802574,0.0001598704,0.004303788,0.00004374804,0.000005494109],"category_scores_gemma":[0.003348666,0.00008572428,0.00005740863,0.002716102,0.001062312,0.0002223781,0.002240758,0.0005666052,0.0001280447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006020895,"about_ca_system_score_gemma":0.00008033899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158809,"about_ca_topic_score_gemma":0.0000219268,"domain_scores_codex":[0.9965559,0.0009145374,0.0002918931,0.0005204256,0.0008322704,0.0008849541],"domain_scores_gemma":[0.9965047,0.001545687,0.00004058133,0.001557876,0.0001874993,0.0001636976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002913077,0.0008373853,0.01327058,0.0001052486,0.00007541677,0.0004130313,0.03496197,0.002118733,0.08503824,0.2531172,0.02166013,0.5881108],"study_design_scores_gemma":[0.0006933905,0.001732851,0.8906312,0.0002267628,0.000005659722,0.0001238088,0.0005727012,0.006472085,0.003026237,0.02533015,0.07063462,0.0005505281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756698,0.00002883812,0.05007531,0.1724348,0.00007307951,0.0004507699,0.000001606878,0.00003635365,0.001229421],"genre_scores_gemma":[0.9501516,0.000008225947,0.02350331,0.02614945,0.00003044707,0.0001015313,5.323147e-7,0.000004321565,0.00005057577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8773606,"threshold_uncertainty_score":0.799758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07656823500579775,"score_gpt":0.3589024769904942,"score_spread":0.2823342419846964,"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."}}