{"id":"W3133604061","doi":"10.1016/j.wneu.2021.02.018","title":"Erratum to 'Response to Surgical Triage in an Evolving Pandemic Based on Disease Classification and Predictive Modeling.' [World Neurosurgery. 143 (2020), 412-414]","year":2021,"lang":"en","type":"erratum","venue":"World Neurosurgery","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Triage; Neurosurgery; Pandemic; Disease; Coronavirus disease 2019 (COVID-19); Medical physics; Medical emergency; Intensive care medicine; Surgery; Internal medicine; Infectious disease (medical specialty)","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005599563,0.001984878,0.002100765,0.003740236,0.004325002,0.004610822,0.002815462,0.01080206,0.06029075],"category_scores_gemma":[0.07449763,0.001213908,0.001719412,0.003031065,0.001961223,0.002537461,0.002175754,0.01487907,0.04161695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004226768,"about_ca_system_score_gemma":0.01307585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06071641,"about_ca_topic_score_gemma":0.1046523,"domain_scores_codex":[0.9953182,0.0007594142,0.0009398088,0.0003634632,0.002190458,0.0004285542],"domain_scores_gemma":[0.9571633,0.01310028,0.002132366,0.00114847,0.0238755,0.002580047],"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":[0.000007363253,0.000003046681,0.00003010033,0.00001931014,0.000001563831,0.0000489151,0.000006102535,0.00001024679,0.000004209121,0.000119776,0.9981937,0.001555814],"study_design_scores_gemma":[0.00006169543,0.00002712566,0.0009570422,0.0006420431,0.00002402595,0.000241324,0.0001098455,0.0001997041,0.00007808022,0.001018559,0.9965997,0.00004068601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001025207,0.001353246,0.0003235204,0.1647835,0.8250554,0.00004238523,0.001505077,0.0002790487,0.006555254],"genre_scores_gemma":[0.004452069,0.01089794,0.002791239,0.4159161,0.3900621,0.0002986795,0.004818328,0.0009146419,0.1698489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.989198,"threshold_uncertainty_score":0.2016926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07850106391778246,"score_gpt":0.3625877785895549,"score_spread":0.2840867146717724,"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."}}