{"id":"W4200448857","doi":"10.32749/nucleodoconhecimento.com.br/sante/service-de-pathologie","title":"L’impact de la pandémie de covid 19 sur le diagnostic du cancer dans un service de pathologie du sud du Brésil","year":2021,"lang":"fr","type":"article","venue":"Revista Científica Multidisciplinar Núcleo do Conhecimento","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Gynecology; Humanities; Medicine; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.007422134,0.0005063323,0.0004653741,0.001412587,0.001715353,0.002283137,0.0009776945,0.001285624,0.01110451],"category_scores_gemma":[0.02393706,0.0004587913,0.00100301,0.001687421,0.00162592,0.00121104,0.002858413,0.001516781,0.0008995947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007693389,"about_ca_system_score_gemma":0.01378657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1699189,"about_ca_topic_score_gemma":0.2360365,"domain_scores_codex":[0.9921412,0.003616906,0.0004522211,0.0009262948,0.001423115,0.001440114],"domain_scores_gemma":[0.9825299,0.007872413,0.003995953,0.0006903404,0.003215943,0.001695392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005926935,0.0001336697,0.9050103,0.002143675,0.00033199,0.000733989,0.005218273,0.001183304,0.002157763,0.002198993,0.006230948,0.07406434],"study_design_scores_gemma":[0.00003923574,0.0008762364,0.9554601,0.002718031,0.0003239645,0.000895748,0.01290253,0.0008200639,0.001590275,0.0008621285,0.02345129,0.00006036651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176798,0.01330473,0.003739765,0.02621149,0.0006794509,0.0004681358,0.00721748,0.0001224368,0.03057668],"genre_scores_gemma":[0.978889,0.006058152,0.003709987,0.003997889,0.0001565189,0.0002664872,0.001694995,0.00003283272,0.005194211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1699189,"threshold_uncertainty_score":0.3378597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659373929225187,"score_gpt":0.3887266843872223,"score_spread":0.3321329450949704,"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."}}