{"id":"W238612893","doi":"10.15173/mjc.v6i0.245","title":"Heeding the Warning Signs: Investigating Crisis Communications at Trent University in the Aftermath of Virginia Tech","year":2010,"lang":"en","type":"article","venue":"The McMaster Journal of Communication","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Virginia tech; Warning signs; Crisis communication; Crisis response; Warning system; Political science; Engineering; Telecommunications; Library science; Public relations; Computer science; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003291271,0.0003595974,0.0003406535,0.001938714,0.02004211,0.00566832,0.001939026,0.002701903,0.001526668],"category_scores_gemma":[0.009621849,0.0004476498,0.0002996029,0.002490251,0.006537803,0.002125494,0.003794452,0.003291401,0.0002096147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02668647,"about_ca_system_score_gemma":0.01637704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4694781,"about_ca_topic_score_gemma":0.7412455,"domain_scores_codex":[0.9957985,0.002179053,0.00007614857,0.0001786314,0.0006511442,0.00111658],"domain_scores_gemma":[0.9917065,0.0038198,0.001390995,0.0002843212,0.001612622,0.001185802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001714517,0.0003032336,0.04998953,0.0001280011,0.00003017084,0.01074508,0.9156485,0.0008817838,0.00125257,0.003309622,0.003465295,0.01407486],"study_design_scores_gemma":[0.000005427054,0.0001022292,0.02150012,0.00005686563,0.00001057437,0.000344791,0.9710132,0.000268216,0.0003179872,0.0001617936,0.006200287,0.00001860824],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925996,0.0001168976,0.0002103184,0.001080691,0.00001939208,0.00005924583,0.00002829124,0.000007347268,0.005878162],"genre_scores_gemma":[0.9971789,0.0002527089,0.0002799619,0.000250527,0.00001084359,0.00003567697,0.00002249303,0.000005073774,0.001963878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5305219,"threshold_uncertainty_score":0.9334909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386921296740874,"score_gpt":0.3124488237852823,"score_spread":0.2737566941111949,"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."}}