{"id":"W4386317621","doi":"10.1093/dote/doad052.160","title":"347. LASER CAPTURE MICRODISSECTION AND WHOLE GENOME SEQUENCING OF ESOPHAGEAL ADENOCARCINOMA SAMPLES WITH MINIMAL TUMOUR","year":2023,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Microdissection; Laser capture microdissection; Histology; Medicine; Adenocarcinoma; Biopsy; Pathology; Biology; Internal medicine; Gene; Cancer; Genetics","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":[0.0009780481,0.0003185117,0.000365815,0.0009268647,0.0006110874,0.000522917,0.0003411124,0.0005465676,0.004627007],"category_scores_gemma":[0.001345625,0.0003689922,0.0004540403,0.0007994918,0.0003203581,0.00009791417,0.000319586,0.0002827869,0.001714821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220578,"about_ca_system_score_gemma":0.0005545969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551695,"about_ca_topic_score_gemma":0.01016012,"domain_scores_codex":[0.999124,0.0001296455,0.00007773848,0.0003457171,0.0002492488,0.00007360188],"domain_scores_gemma":[0.9995996,0.0001200373,0.00004899811,0.00008059722,0.0001245852,0.00002612156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002242096,0.0001482164,0.09371863,0.0005266351,0.0002815785,0.0007141863,0.0004976435,0.002397108,0.820834,0.0007197792,0.009853417,0.06806666],"study_design_scores_gemma":[0.000367277,0.001211972,0.529901,0.0001257754,0.0004325796,0.00389621,0.0002720109,0.01491062,0.3970962,0.001004589,0.05071449,0.00006727948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975572,0.002415349,0.04205728,0.0005924162,0.0001087171,0.0008492491,0.04575152,0.002220978,0.008447342],"genre_scores_gemma":[0.8245704,0.000735867,0.08215189,0.0009546431,0.00004970313,0.002375534,0.07970931,0.0007275169,0.008725196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004627007,"threshold_uncertainty_score":0.01547891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877567190487506,"score_gpt":0.2645521417204986,"score_spread":0.2457764698156236,"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."}}