{"id":"W2890018267","doi":"10.1785/0220180258","title":"Earthquake Myths and False Information: How to Respond While Avoiding a Mud Fight","year":2018,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Mythology; Geology; Seismology; Forensic engineering; Computer security; Mining engineering; Computer science; Engineering; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003528371,0.00009672555,0.0001194548,0.0002798107,0.001386723,0.0007242046,0.000476014,0.00008572759,0.0003631597],"category_scores_gemma":[0.002804261,0.00007408763,0.00003249607,0.0008329008,0.001256471,0.0006672014,0.0003872887,0.0003262064,0.0006644947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195397,"about_ca_system_score_gemma":0.00005010944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001839921,"about_ca_topic_score_gemma":0.00007306092,"domain_scores_codex":[0.9970154,0.0008232133,0.0001385009,0.0002724584,0.0009930243,0.0007573818],"domain_scores_gemma":[0.9986998,0.0005834151,0.0000310021,0.0001993282,0.0001591082,0.0003272962],"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":[0.0004191939,0.00008170083,0.003200221,0.00005286443,0.00003711569,0.0001413325,0.06650278,0.00001093391,0.002963551,0.08589473,0.6433995,0.1972961],"study_design_scores_gemma":[0.0001470074,0.0002187284,0.007124774,0.00002285982,0.000001741872,8.998882e-7,0.009439361,0.00002227646,0.00007156346,0.0008574832,0.9819715,0.0001217972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7265312,0.00002030886,0.001152705,0.2247991,0.0001569666,0.0004784725,0.000003509452,0.00006725366,0.04679045],"genre_scores_gemma":[0.9753574,0.00002660716,0.0004233188,0.016058,0.0003983673,0.00003379307,0.000002474864,0.000004144153,0.007695909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.338572,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08262818011639206,"score_gpt":0.3660478718384846,"score_spread":0.2834196917220925,"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."}}