{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002442868,0.00004678747,0.0002333506,0.0003245871,0.000104057,0.000006945398,0.000347195,0.00005256564,0.0004901686],"category_scores_gemma":[0.00103273,0.0000384023,0.0000647185,0.001088009,0.0001901591,0.00006700267,0.00003729508,0.00006730483,0.00000231613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003007432,"about_ca_system_score_gemma":0.00007727469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008204397,"about_ca_topic_score_gemma":0.002270533,"domain_scores_codex":[0.9989288,0.0002715767,0.0002709114,0.00009663402,0.0003345368,0.00009746687],"domain_scores_gemma":[0.9989251,0.0004019231,0.000141892,0.0003756682,0.00009277244,0.00006267412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003886742,0.0001874934,0.5494361,0.00002183157,0.001026137,4.662588e-7,0.2860807,0.0008763821,0.004293598,0.0808306,0.03974624,0.03711176],"study_design_scores_gemma":[0.0006018134,0.0001440735,0.784893,0.00007366778,0.0008025718,8.196444e-8,0.01888212,0.002163924,0.0001286485,0.001152188,0.1910362,0.0001216665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616289,0.0002215795,0.003349339,0.009352524,0.00008505747,0.00006573488,8.221268e-7,0.0000185031,0.02527752],"genre_scores_gemma":[0.9978605,0.00003298142,0.0001888323,0.0001053401,0.0001106535,0.000001480392,0.000006506002,0.00000326347,0.001690445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2671986,"threshold_uncertainty_score":0.9984,"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."}}