{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009157021,0.00009625198,0.0003924889,0.00009751452,0.00004141726,0.000002142456,0.00007817168,0.00008713976,0.00004640521],"category_scores_gemma":[0.0006097541,0.00005564347,0.00008585885,0.0004111252,0.00007396357,0.00001994074,0.00005470363,0.0001611872,0.000001854681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005584268,"about_ca_system_score_gemma":0.0003007886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003650034,"about_ca_topic_score_gemma":0.0008514717,"domain_scores_codex":[0.9982989,0.0003160937,0.0007540828,0.0001859265,0.0002148966,0.0002300497],"domain_scores_gemma":[0.9986565,0.0004102806,0.0002488793,0.000567107,0.00004233886,0.00007487918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001069458,0.00006750544,0.9597963,0.00187528,0.00006574087,0.03317067,0.0009719247,0.000004719231,0.0001078059,0.0004792933,0.00188125,0.001472577],"study_design_scores_gemma":[0.001235736,0.0002007225,0.9560953,0.0001595968,0.0001141556,0.01536117,0.001132855,0.00001848831,0.003730975,0.001003298,0.02086387,0.00008380238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970959,0.002869376,0.00001665754,0.02277647,0.0002286316,0.0005229295,0.000001043464,0.000008433281,0.002617425],"genre_scores_gemma":[0.9984616,0.0004963715,0.00001654159,0.0008594052,0.000009461913,0.00004246697,0.00001100175,0.00000647312,0.0000966798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02750256,"threshold_uncertainty_score":0.2269075,"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."}}