{"id":"W3119183117","doi":"10.1542/hpeds.2020-002477","title":"The Secondary Consequences of the COVID-19 Pandemic in Hospital Pediatrics","year":2021,"lang":"en","type":"article","venue":"Hospital Pediatrics","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Medicine; Pandemic; Thematic analysis; Unintended consequences; Health care; Family medicine; Agency (philosophy); Coronavirus disease 2019 (COVID-19); Qualitative research; Social distance; Disease; Pediatrics; Nursing; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00672641,0.0002908449,0.0002938182,0.0007162939,0.005607547,0.002780506,0.0009676265,0.000980442,0.002142863],"category_scores_gemma":[0.01635833,0.0002288486,0.0003854335,0.000909182,0.00547949,0.002457743,0.004795727,0.001996466,0.0001220651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006458788,"about_ca_system_score_gemma":0.008080163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005653391,"about_ca_topic_score_gemma":0.008879799,"domain_scores_codex":[0.9915493,0.006417963,0.0002830021,0.0002035334,0.0007091382,0.0008371922],"domain_scores_gemma":[0.985946,0.008917261,0.002254977,0.0003781117,0.001213093,0.001290518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009393885,0.00009412169,0.05850554,0.001336547,0.00003190584,0.01084026,0.8769085,0.0002984525,0.0009742459,0.01079626,0.007467791,0.03265253],"study_design_scores_gemma":[0.000005715292,0.00008724448,0.01533717,0.0007424512,0.00001328683,0.004392479,0.9555488,0.0001844638,0.0004401142,0.001584325,0.0216444,0.00001951062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639654,0.003604773,0.001872426,0.01604919,0.0003358805,0.0001962023,0.0001245507,0.00002061259,0.01383096],"genre_scores_gemma":[0.9954779,0.002035283,0.0007474892,0.0009181416,0.00005723431,0.0000784597,0.0000323183,0.00000760785,0.0006456518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00672641,"threshold_uncertainty_score":0.04686201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309329672834297,"score_gpt":0.3129343503097284,"score_spread":0.2898410535813854,"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."}}