{"id":"W3136120932","doi":"10.4081/dr.2021.8972","title":"The effect of COVID-19 emergency in the management of melanoma in Italy","year":2021,"lang":"en","type":"article","venue":"Dermatology Reports","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Melanoma; Pandemic; Metastatic melanoma; Telemedicine; 2019-20 coronavirus outbreak; Dermatology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Quarter (Canadian coin); General surgery; Health care; Medical emergency; Pathology; Disease; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607558,0.0001395869,0.0001332519,0.0005768918,0.0003907638,0.0008612687,0.0002574341,0.0002957227,0.003144176],"category_scores_gemma":[0.005812358,0.00009299212,0.0002110587,0.0006055232,0.0005306471,0.0003251542,0.001024663,0.0005834181,0.0002372395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483069,"about_ca_system_score_gemma":0.001588685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009638003,"about_ca_topic_score_gemma":0.0165448,"domain_scores_codex":[0.9983822,0.0008428345,0.00007973654,0.0001218237,0.0001599656,0.0004134431],"domain_scores_gemma":[0.9958075,0.0008580479,0.001642644,0.0001269697,0.0002778674,0.001286807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005024876,0.0003550727,0.9250814,0.0003265204,0.00003537249,0.001934663,0.002927981,0.0003019029,0.0006758613,0.0006229432,0.009922071,0.05731368],"study_design_scores_gemma":[0.00002008424,0.0003006387,0.9851385,0.0002202074,0.00001607578,0.00131165,0.003641117,0.0001830831,0.0001158916,0.0001159819,0.008925793,0.00001085325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817387,0.003657327,0.0001088565,0.004646899,0.000159491,0.00004129253,0.0002980201,0.00001558788,0.009333697],"genre_scores_gemma":[0.9976982,0.0009761626,0.0001067532,0.0004915675,0.0001264916,0.00001232774,0.0001026494,0.000006470218,0.0004792391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009638003,"threshold_uncertainty_score":0.01916385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690407630001603,"score_gpt":0.381567821557641,"score_spread":0.354663745257625,"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."}}