{"id":"W3019433352","doi":"10.1038/s41390-020-0927-1","title":"The Doctor’s Dilemma: lessons from GB Shaw in a modern pandemic COVID-19","year":2020,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"Health Research Board","keywords":"Dilemma; Pandemic; Cytokine storm; Medicine; Coronavirus disease 2019 (COVID-19); Intervention (counseling); Intensive care medicine; Intensive care; Wright; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Rationing; 2019-20 coronavirus outbreak; Health care; Nursing; Virology; Political science; Internal medicine; History; Law","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":[0.02041367,0.0003389345,0.0009469449,0.0008452587,0.007925971,0.008222368,0.001490461,0.009849414,0.007672621],"category_scores_gemma":[0.03860268,0.0003574741,0.0006279043,0.0009383525,0.02362085,0.009109469,0.008482808,0.026447,0.0007406454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007152487,"about_ca_system_score_gemma":0.02382227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620732,"about_ca_topic_score_gemma":0.04472572,"domain_scores_codex":[0.9925343,0.005186805,0.0001469637,0.0003053327,0.0005981221,0.001228489],"domain_scores_gemma":[0.9732392,0.01333738,0.001367656,0.0007558984,0.002440435,0.008859339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000378966,0.000638615,0.01996254,0.0006287595,0.0001603291,0.006401737,0.1406413,0.0005050758,0.0003957831,0.3562227,0.3620946,0.1119696],"study_design_scores_gemma":[0.0001830409,0.0002960513,0.01107671,0.003349509,0.00006220632,0.002331196,0.359479,0.0002570102,0.0002269158,0.2585964,0.3639862,0.0001557241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01911459,0.008234042,0.0003267775,0.9565367,0.003636585,0.00001474673,0.00004063865,0.000006643353,0.01208932],"genre_scores_gemma":[0.5253997,0.03337302,0.001678581,0.4227502,0.00829047,0.0001066145,0.00005664278,0.00006912072,0.008275665],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02041367,"threshold_uncertainty_score":0.1079591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2636959831579161,"score_gpt":0.4892361165971571,"score_spread":0.225540133439241,"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."}}