{"id":"W4297216244","doi":"10.1093/dote/doac051.329","title":"329. IMPROVED TUMOUR PURITY AND PLOIDY ESTIMATION FROM LASER CAPTURE MICRODISSECTED ESOPHAGEAL ADENOCARCINOMA SAMPLES","year":2022,"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":"Adenocarcinoma; Microdissection; Laser capture microdissection; Esophageal cancer; Medicine; Biopsy; Surgical oncology; Ploidy; Germline; Pathology; Cancer research; Biology; Cancer; Oncology; Internal medicine; Gene; Genetics; Gene expression","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":[0.0007950928,0.0003779689,0.000337833,0.00124361,0.0003391571,0.0008267222,0.0002862478,0.0003856081,0.001454744],"category_scores_gemma":[0.001628985,0.000267427,0.0003537555,0.0006592363,0.0002008693,0.0002212864,0.0004849406,0.0003332511,0.001094879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647213,"about_ca_system_score_gemma":0.0002389959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759497,"about_ca_topic_score_gemma":0.002837316,"domain_scores_codex":[0.9993479,0.00008010647,0.00007035006,0.000267576,0.0001856991,0.00004835277],"domain_scores_gemma":[0.9992093,0.0002612642,0.0001223392,0.0001450843,0.0002230967,0.00003894427],"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":[0.0002838344,0.00002839767,0.03579487,0.0001501404,0.00005828908,0.0001171163,0.000124879,0.002012935,0.9292566,0.0001179372,0.0004466074,0.03160853],"study_design_scores_gemma":[0.00001965043,0.0001866383,0.1745167,0.00002679837,0.000128673,0.0009005544,0.00009145628,0.0179824,0.7985409,0.0002413487,0.007331194,0.00003378101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871531,0.002044486,0.09756138,0.000150464,0.00003746771,0.0001368335,0.009307854,0.001370004,0.002238436],"genre_scores_gemma":[0.8987694,0.0005319476,0.0788192,0.00009973167,0.00001620552,0.0001893818,0.01889661,0.0002496422,0.00242808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001759497,"threshold_uncertainty_score":0.0048666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087103566536902,"score_gpt":0.2546871909183344,"score_spread":0.2438161552529653,"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."}}