{"id":"W1971841160","doi":"10.1017/s1049023x12001537","title":"Text Messaging as a Strategy to Address the Limits of Audio-Based Communication During Mass-Gathering Events with High Ambient Noise","year":2012,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Context (archaeology); Usability; Computer science; Event (particle physics); Health care; Noise (video); Multimedia; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002655671,0.0005137011,0.0002501328,0.0006237345,0.0007196067,0.0009586913,0.0008989795,0.0006271558,0.004512189],"category_scores_gemma":[0.01021779,0.0001620528,0.0002311093,0.0003205561,0.0004171605,0.001115813,0.001031866,0.0003687554,0.0006656018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005023449,"about_ca_system_score_gemma":0.001123061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279934,"about_ca_topic_score_gemma":0.004404644,"domain_scores_codex":[0.9985924,0.00075375,0.0001050962,0.0001151762,0.0003068243,0.0001266861],"domain_scores_gemma":[0.9942093,0.00364336,0.0009627988,0.00020492,0.0005720591,0.000407553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003728767,0.005350935,0.0634672,0.005195549,0.0001215508,0.00129941,0.0211325,0.00101101,0.04945469,0.0007113827,0.005174726,0.8433523],"study_design_scores_gemma":[0.002839974,0.0685152,0.6556682,0.004649893,0.001439425,0.005652339,0.0563524,0.01646504,0.07624173,0.003072864,0.1087472,0.0003556437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806539,0.0008557669,0.008617923,0.0007853464,0.00007846314,0.0007280185,0.00007810918,0.0003089714,0.007893398],"genre_scores_gemma":[0.9768082,0.0007880385,0.01883012,0.0003089899,0.00008324064,0.0006642326,0.00009663859,0.000029701,0.002390873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004512189,"threshold_uncertainty_score":0.01509476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706305259842755,"score_gpt":0.3164063546921026,"score_spread":0.289343302093675,"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."}}