{"id":"W4311480635","doi":"10.46747/cfp.6812880","title":"Screening backlogs","year":2022,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; McGill University Health Centre","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Ask price; Strengths and weaknesses; Computer science; 2019-20 coronavirus outbreak; Data science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Pathology; Psychology; Infectious disease (medical specialty); Business; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004602609,0.000404072,0.0004937887,0.001701659,0.007440886,0.003466616,0.001580991,0.004574748,0.04054632],"category_scores_gemma":[0.04255274,0.0002733068,0.0007907237,0.001390978,0.001885344,0.002970451,0.002850158,0.007406799,0.004705593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036188,"about_ca_system_score_gemma":0.01738874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287349,"about_ca_topic_score_gemma":0.2115057,"domain_scores_codex":[0.989747,0.001998912,0.0007547743,0.0005299191,0.004437058,0.002532358],"domain_scores_gemma":[0.9637544,0.007559777,0.005414985,0.000991606,0.009998505,0.01228067],"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":[0.00003627073,0.0001204262,0.02821237,0.0001683287,0.00001660978,0.001276049,0.001284842,0.00007640697,0.0001795791,0.004510775,0.8937305,0.0703878],"study_design_scores_gemma":[0.00003222929,0.0001688988,0.04701632,0.003092496,0.00004716928,0.003362631,0.01335372,0.0003768524,0.0004367343,0.009200346,0.9227903,0.0001222719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02428257,0.005440488,0.001081703,0.8742316,0.0100461,0.0002211682,0.002520235,0.0005048517,0.08167125],"genre_scores_gemma":[0.2506591,0.01031413,0.002660702,0.6913861,0.008534136,0.0001757191,0.002244069,0.0003326102,0.03369338],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8712651,"threshold_uncertainty_score":0.2559713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191203769529438,"score_gpt":0.3187562499500947,"score_spread":0.2568442122548003,"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."}}