{"id":"W2590127076","doi":"10.1111/cyt.12419","title":"Use of cytological samples of metastatic melanoma for ancillary studies","year":2017,"lang":"en","type":"article","venue":"Cytopathology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Melanoma; Immunohistochemistry; Metastatic melanoma; Internal medicine; Pathology; Fine-needle aspiration; Oncology; Biopsy; Dermatology; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104566,0.00009233115,0.0005443271,0.00007973834,0.00008501198,0.00000516161,0.00008943374,0.00004877515,0.00002236647],"category_scores_gemma":[0.001665959,0.00006949202,0.0001167129,0.00002289514,0.000354787,0.00003468676,0.0001015719,0.00004902524,0.000003174938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001773498,"about_ca_system_score_gemma":0.00002183366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110708,"about_ca_topic_score_gemma":0.00002353511,"domain_scores_codex":[0.9992769,0.00004052947,0.0002843666,0.0001744441,0.00008225871,0.0001414683],"domain_scores_gemma":[0.9988602,0.0002334911,0.0002611287,0.0004416634,0.0001669201,0.00003662465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006571718,0.00171793,0.3317345,0.004691198,0.002312643,0.00411853,0.002624617,0.00005153159,0.4390626,0.06341329,0.009530721,0.1341707],"study_design_scores_gemma":[0.006158648,0.01012074,0.763164,0.0002765421,0.002032994,0.005211587,0.002256191,0.0003552699,0.105864,0.006756757,0.0973054,0.0004978116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956643,0.0004604896,0.002157751,0.0005878778,0.0002916628,0.0004662656,0.0000346679,0.00002162265,0.0003153721],"genre_scores_gemma":[0.9887275,0.0001915059,0.01025621,0.0001599764,0.00004075013,0.00003482156,0.000006303243,0.000008722182,0.0005742445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4314295,"threshold_uncertainty_score":0.2833802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2499192904559643,"score_gpt":0.3853401480507863,"score_spread":0.135420857594822,"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."}}