{"id":"W2770067167","doi":"10.2196/publichealth.7817","title":"Check and Report Ebola (CARE) Hotline: The User Perspective of an Innovative Tool for Postarrival Monitoring of Ebola in the United States","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Skoll Foundation; U.S. Department of Health and Human Services","keywords":"Hotline; Perspective (graphical); Ebola virus; Medicine; Medical emergency; Virology; Computer science; Telecommunications; Outbreak","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":[0.002689951,0.0001823842,0.0005283463,0.0001532931,0.0002880439,0.00008517392,0.0002980975,0.00006709673,0.000001649013],"category_scores_gemma":[0.002699691,0.0001148686,0.00004282053,0.0003771137,0.0004005267,0.0002321314,0.00009456772,0.0002415808,1.376676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007775652,"about_ca_system_score_gemma":0.0007441944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141699,"about_ca_topic_score_gemma":0.0002721531,"domain_scores_codex":[0.9979663,0.0003189941,0.000602829,0.0003804933,0.0003359007,0.0003954349],"domain_scores_gemma":[0.9964911,0.0004227196,0.0006542032,0.0009614376,0.001279225,0.0001912744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005244988,0.000135145,0.9813504,0.000487564,0.00005155953,0.00001987545,0.01205892,0.000001537317,0.00007567454,0.0006185166,0.0003100792,0.004366228],"study_design_scores_gemma":[0.001642808,0.0004432464,0.9678979,0.00005662666,0.000001858304,0.00003751074,0.01719971,0.0001624101,0.00002831606,0.0000729706,0.01234333,0.0001133144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877835,0.0007282337,0.0000348938,0.009156289,0.00009411482,0.001551611,0.0004696061,0.00002453877,0.0001572403],"genre_scores_gemma":[0.9981254,0.0003012404,0.0004185071,0.0004873676,0.0001269227,0.0001175499,0.0003758417,0.00002128371,0.00002582697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0134525,"threshold_uncertainty_score":0.4684204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112260852995064,"score_gpt":0.3797810482314684,"score_spread":0.3386584397015178,"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."}}