{"id":"W3123813818","doi":"","title":"Pandemic Planning for Hospital-Based Speech-Language Pathologists: Emerging Lessons from Coronavirus Disease","year":2020,"lang":"en","type":"article","venue":"Canadian journal of speech-language pathology and audiology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PsycINFO; Workforce; Pandemic; Context (archaeology); Psychology; Medicine; Nursing; Public relations; MEDLINE; Disease; Coronavirus disease 2019 (COVID-19); Political science; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004711114,0.0002626184,0.0007148613,0.0002902225,0.000192987,0.0000150742,0.0001720833,0.000225449,0.0003987536],"category_scores_gemma":[0.001247148,0.000233553,0.0001461609,0.0001491032,0.0003360713,0.0000845637,0.00002117452,0.0005707453,0.000008099908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005073,"about_ca_system_score_gemma":0.0009851182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009597978,"about_ca_topic_score_gemma":0.001613087,"domain_scores_codex":[0.9980398,0.0001517788,0.0006836696,0.0003862905,0.0001225886,0.0006159198],"domain_scores_gemma":[0.9975557,0.0002950921,0.0004868729,0.0001968823,0.0001391369,0.00132632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000882971,0.00004560287,0.7330617,0.0001847826,0.0001384431,0.07888226,0.01254014,0.00002717473,0.008870268,0.00005939453,0.003590319,0.1617169],"study_design_scores_gemma":[0.01634343,0.008023694,0.9114875,0.0005407283,0.00126458,0.007414637,0.03120505,0.0004898407,0.002795886,0.0009144672,0.01860346,0.0009167268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574875,0.01073506,0.005056231,0.02524974,0.0004733981,0.0004472563,0.0004710213,0.00003488405,0.00004488225],"genre_scores_gemma":[0.9772509,0.0001198674,0.005841734,0.01522155,0.001089403,0.00001632063,0.0003975383,0.00003627184,0.00002642207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1784257,"threshold_uncertainty_score":0.9524014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0684836772045353,"score_gpt":0.3818609176290925,"score_spread":0.3133772404245572,"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."}}