{"id":"W2910258100","doi":"10.25248/reas.e220.2019","title":"Câncer de mama masculino: uma revisão de literatura dos último dez anos","year":2019,"lang":"pt","type":"article","venue":"Revista Eletrônica Acervo Saúde","topic":"Women's cancer prevention and management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Medicine; Gynecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002235302,0.001007908,0.001713583,0.0004383097,0.0002479431,0.0007451532,0.00102924,0.0005805173,0.01673629],"category_scores_gemma":[0.0003599478,0.0009785414,0.001098551,0.001207826,0.0001639557,0.0003937119,0.0006474312,0.001408626,0.00525538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053283,"about_ca_system_score_gemma":0.0008133649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005681221,"about_ca_topic_score_gemma":0.000005306251,"domain_scores_codex":[0.992986,0.0007324429,0.00162685,0.001579171,0.001081661,0.001993938],"domain_scores_gemma":[0.9950443,0.0002320505,0.0007694028,0.002627125,0.0002996152,0.001027503],"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":[0.003549197,0.004109745,0.07000284,0.03822418,0.005835543,0.001854766,0.005909989,0.0002058899,0.02031324,0.06991827,0.5721566,0.2079197],"study_design_scores_gemma":[0.006178597,0.0008826379,0.01915812,0.006019735,0.001151857,0.0001465725,0.0004902309,0.001519588,0.0003305129,0.00009597648,0.9628605,0.001165682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7111642,0.1306581,0.01008354,0.02708543,0.004671402,0.01676604,0.0004310872,0.001407616,0.09773251],"genre_scores_gemma":[0.7699828,0.01279865,0.002786855,0.01201279,0.001651502,0.000291255,0.0002455609,0.0002887764,0.1999418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3907039,"threshold_uncertainty_score":0.9992665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009806103950522975,"score_gpt":0.2825374700406662,"score_spread":0.2727313660901433,"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."}}