{"id":"W4394382262","doi":"10.6084/m9.figshare.20024221","title":"Nebulizer versus metered dose inhaler with space chamber (MDI spacer) for acute asthma and chronic obstructive pulmonary disease exacerbation: attitudes of patients and healthcare providers in the COVID-19 era","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Nebulizer; Medicine; Metered-dose inhaler; Asthma; Inhaler; Exacerbation; Pulmonary disease; Coronavirus disease 2019 (COVID-19); Asthma exacerbations; Bronchodilator; Health care; Acute care; Intensive care medicine; 2019-20 coronavirus outbreak; COPD; Emergency medicine; Disease; Anesthesia; Internal medicine; Infectious disease (medical specialty); Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003545511,0.0001183306,0.0002666555,0.0002572467,0.0009544088,0.001094837,0.0002123513,0.0008713233,0.001546719],"category_scores_gemma":[0.01017014,0.0002531105,0.0004735542,0.0002475074,0.000569846,0.000953753,0.0007470972,0.0008259904,0.000193876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075943,"about_ca_system_score_gemma":0.0008810344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005754989,"about_ca_topic_score_gemma":0.009131887,"domain_scores_codex":[0.99763,0.001336633,0.0002275617,0.0001161202,0.0004488904,0.0002407809],"domain_scores_gemma":[0.9931206,0.002457131,0.002273647,0.00008055937,0.0004898878,0.001578116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008525388,0.0003815314,0.9657589,0.0001230426,0.00008487175,0.0003090404,0.01633503,0.00007939222,0.0008474587,0.0001104706,0.0009282365,0.01418943],"study_design_scores_gemma":[0.0001416906,0.0027591,0.9365843,0.0001773254,0.00007785005,0.001124428,0.05437881,0.0005951006,0.0003825451,0.00005808676,0.003672257,0.00004847548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9981797,0.0003047949,0.00002366398,0.0008617036,0.00001645433,0.000007077271,0.00001325827,7.39918e-7,0.0005926428],"genre_scores_gemma":[0.9982404,0.0003233697,0.00008309438,0.001065218,0.00002069332,0.000008345393,0.00001511731,8.673182e-7,0.0002430421],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005754989,"threshold_uncertainty_score":0.01875067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329891667970682,"score_gpt":0.3214145175677462,"score_spread":0.2781156008880394,"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."}}