{"id":"W6977141338","doi":"10.6084/m9.figshare.20579667.v1","title":"Additional file 1 of The impact of the COVID-19 pandemic on children with medical complexity","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Corporate Governance and Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Hospital for Sick Children; University of British Columbia; McGill University; University of Calgary; University of Toronto; SickKids Foundation","funders":"","keywords":"Pandemic; MEDLINE; Coronavirus disease 2019 (COVID-19); Government (linguistics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004376428,0.00008378709,0.00009777695,0.00002905587,0.000208923,0.00001601814,0.0005259549,0.00001727427,0.9901552],"category_scores_gemma":[0.001318731,0.00004403873,0.000119566,0.0003594319,0.00003007406,0.00008197888,0.0006960095,0.0001521022,0.0001099321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054571,"about_ca_system_score_gemma":0.0001930522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019609,"about_ca_topic_score_gemma":0.0002378519,"domain_scores_codex":[0.9990358,0.00001676186,0.000117316,0.0001219003,0.0006033719,0.0001048152],"domain_scores_gemma":[0.9991356,0.0001798385,0.0003830488,0.00024777,0.00004248295,0.00001133545],"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":[0.00001735741,0.00005689591,0.002536411,0.00002397346,0.0000305943,9.388928e-7,0.000007150823,0.0004876443,1.393887e-7,0.000132387,0.9964277,0.0002788505],"study_design_scores_gemma":[0.0002128722,0.00001655974,0.3846924,0.0002395526,0.000006795619,0.000003672034,0.0000175938,0.0002105186,4.045863e-7,0.000247718,0.6142922,0.00005969707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002327719,0.00000337571,1.652618e-7,0.0003990021,0.00001724133,0.0002534252,0.9927841,0.00001896401,0.004195989],"genre_scores_gemma":[0.3027898,1.581773e-7,0.00000250195,0.004390201,0.000213091,0.000358941,0.6916889,0.00001276791,0.0005436161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9900452,"threshold_uncertainty_score":0.1795848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0726835518505815,"score_gpt":0.2581214855556144,"score_spread":0.1854379337050329,"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."}}