{"id":"W2063035749","doi":"10.2196/med20.3237","title":"Analysis of Twitter Users’ Sharing of Official New York Storm Response Messages","year":2014,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissemination; Computer science; Event (particle physics); Internet privacy; Social media; World Wide Web; Government (linguistics); Information Dissemination; Redundancy (engineering); Information sharing; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006707045,0.0002523536,0.0002972514,0.002042267,0.0008649242,0.001087371,0.0002956184,0.0003970757,0.002677775],"category_scores_gemma":[0.004789095,0.0001500758,0.0001761175,0.002320592,0.0002941727,0.001229745,0.001056634,0.0004322327,0.001022941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000628247,"about_ca_system_score_gemma":0.000410088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153531,"about_ca_topic_score_gemma":0.03227687,"domain_scores_codex":[0.9992549,0.0001866498,0.0000801001,0.0001483045,0.0002254393,0.0001045543],"domain_scores_gemma":[0.9956766,0.00143739,0.001377918,0.0002258631,0.0009242378,0.0003580246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007964734,0.0001354606,0.9078841,0.0003902115,0.0001140139,0.0004372886,0.03092356,0.0004339607,0.005209262,0.0004495806,0.01497571,0.0382503],"study_design_scores_gemma":[0.00001006063,0.00006646975,0.9710415,0.0000447462,0.00002727172,0.0001037014,0.01693336,0.001863749,0.0008077916,0.0000633974,0.009006421,0.00003149204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915403,0.0001011753,0.0001888932,0.0001867746,0.000022569,0.00006701147,0.004591151,0.00003204192,0.003270126],"genre_scores_gemma":[0.9886199,0.0002320118,0.0006543001,0.00009720904,0.00006597389,0.000314712,0.007089554,0.00002245113,0.002903852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153531,"threshold_uncertainty_score":0.04281992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06334181400951751,"score_gpt":0.3550590062687035,"score_spread":0.291717192259186,"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."}}