{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001009064,0.0002778467,0.0003203289,0.0001384524,0.0004255258,0.0002325523,0.001208739,0.0002459334,0.0002853793],"category_scores_gemma":[0.01185314,0.000191857,0.0003300746,0.001777966,0.000668803,0.000251428,0.0007742032,0.0009507653,0.0001704496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091728,"about_ca_system_score_gemma":0.00363625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005198503,"about_ca_topic_score_gemma":0.001292797,"domain_scores_codex":[0.996312,0.0003614516,0.0007042371,0.0005425914,0.001329358,0.0007503384],"domain_scores_gemma":[0.9956567,0.00247596,0.0003456342,0.0008201969,0.0002597757,0.0004417395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004664216,0.0003005256,0.946937,0.0002424459,0.00001922357,0.0007064639,0.0004910036,0.00002256991,0.00006788109,0.00315021,0.04680604,0.001209984],"study_design_scores_gemma":[0.007537878,0.00120815,0.7711201,0.00003585508,0.0002876303,0.0006186789,0.01355377,0.00006720686,0.0007624814,0.08214732,0.1207839,0.001877052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813666,0.009991112,0.00008195865,0.003108863,0.002648663,0.000504759,0.0003272409,0.00006600031,0.001904783],"genre_scores_gemma":[0.9927701,0.003612857,0.00004059884,0.0009758809,0.0004290082,0.0000487444,0.00003205008,0.00003249816,0.002058223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175817,"threshold_uncertainty_score":0.9964705,"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."}}