{"id":"W2943413782","doi":"10.1111/1468-5973.12265","title":"Public attention to extreme weather as reflected by social media activity","year":2019,"lang":"en","type":"article","venue":"Journal of Contingencies and Crisis Management","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tornado; Social media; Extreme weather; Interpretation (philosophy); Storm; Microblogging; Risk communication; Event (particle physics); Information sharing; Public relations; Crisis communication; Political science; Climate change; Computer science; Business; Meteorology; Geography; Risk analysis (engineering)","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":[0.001360532,0.00007994763,0.0001703289,0.0001739739,0.000387507,0.0002841589,0.00028544,0.00005886466,0.0002787869],"category_scores_gemma":[0.0001022174,0.00007164334,0.00008720162,0.0003494719,0.00003627711,0.0005290702,0.0000981162,0.0001196684,0.00002540958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009674633,"about_ca_system_score_gemma":0.00003479331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110764,"about_ca_topic_score_gemma":0.0001373184,"domain_scores_codex":[0.9986945,0.0002004663,0.0002729939,0.0001164378,0.000510731,0.0002048555],"domain_scores_gemma":[0.9990762,0.00006295161,0.0003244843,0.0001338317,0.0002975347,0.0001049975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001026991,0.0004946265,0.01336344,0.00004339585,0.0005437916,0.000004761557,0.03199306,0.00000240133,0.006296349,0.1896589,0.2901209,0.4673757],"study_design_scores_gemma":[0.0005269357,0.00007945929,0.06262474,0.00002639763,0.00008510666,0.000001285025,0.05727546,0.00001727894,0.00003236513,0.002857457,0.8762948,0.000178715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853079,0.0004026603,0.0008925739,0.03605005,0.0002641862,0.0001907289,0.000001270227,0.00001774477,0.07687287],"genre_scores_gemma":[0.9959514,0.0007839879,0.000338267,0.0002811955,0.0001112685,0.00000550409,0.000001381534,0.000006696087,0.002520345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5861739,"threshold_uncertainty_score":0.3052521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05456099328872924,"score_gpt":0.3061003912450748,"score_spread":0.2515393979563455,"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."}}