{"id":"W2959118880","doi":"10.1038/s41379-019-0305-x","title":"Molecular characterization of gastric-type endocervical adenocarcinoma using next-generation sequencing","year":2019,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lakeridge Health; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Pathology; DNA sequencing; Adenocarcinoma; Biology; Cytopathology; Medicine; Computational biology; Cancer; Internal medicine; Gene; Genetics; Cytology","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":[0.0007240029,0.0003676174,0.0003870887,0.001477204,0.0003066954,0.001005965,0.0004484968,0.0007224084,0.001135889],"category_scores_gemma":[0.001469187,0.0002046249,0.0005068475,0.0007109698,0.0002403132,0.0004010872,0.0004407087,0.0005827711,0.0003587989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127804,"about_ca_system_score_gemma":0.0003586207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001374,"about_ca_topic_score_gemma":0.003692974,"domain_scores_codex":[0.9995959,0.00005945804,0.00004368593,0.0001267328,0.00011203,0.00006213679],"domain_scores_gemma":[0.9995839,0.0001228255,0.00008792261,0.00004438571,0.0001227672,0.00003822954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009059999,0.0001681826,0.5989745,0.0006679067,0.0006092166,0.002610056,0.0005326644,0.003008207,0.2161235,0.002083194,0.004432521,0.1698841],"study_design_scores_gemma":[0.0001156103,0.0006487779,0.7696803,0.0005075873,0.001116551,0.0151751,0.001418084,0.03645608,0.1061063,0.006888908,0.06178812,0.00009860736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610327,0.01114276,0.01694256,0.001360592,0.0001868462,0.0001290446,0.004527972,0.0001991801,0.004478191],"genre_scores_gemma":[0.9724205,0.002886911,0.01739781,0.0009348238,0.0001072443,0.00008887895,0.004421499,0.00005869719,0.00168361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001374,"threshold_uncertainty_score":0.003979385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07273432257535298,"score_gpt":0.2748082664326006,"score_spread":0.2020739438572477,"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."}}