{"id":"W2300765041","doi":"10.1111/his.12966","title":"The application of next‐generation sequencing‐based molecular diagnostics in endometrial stromal sarcoma","year":2016,"lang":"en","type":"article","venue":"Histopathology","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; Vancouver General Hospital; University of British Columbia; University of Alberta","funders":"Cancer Research UK; University of Alberta","keywords":"Endometrial stromal sarcoma; Fluorescence in situ hybridization; Biology; Sarcoma; Polymerase chain reaction; Multiplex; Fusion gene; Multiplex polymerase chain reaction; Immunophenotyping; Reverse transcription polymerase chain reaction; Stromal cell; Pathology; Cancer research; Molecular biology; Medicine; Gene; Bioinformatics; Genetics; Flow cytometry; Gene expression; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001627082,0.0003882043,0.0002352693,0.0008865488,0.0001641748,0.0005165351,0.0003092168,0.0007394792,0.0007313989],"category_scores_gemma":[0.001872162,0.0002111432,0.0002477185,0.0002588513,0.0004377885,0.0002552524,0.0003958658,0.0004421702,0.0002911781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441046,"about_ca_system_score_gemma":0.0002521216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004924203,"about_ca_topic_score_gemma":0.00122233,"domain_scores_codex":[0.9991892,0.0003237209,0.00006045287,0.0001585407,0.0002119188,0.0000560722],"domain_scores_gemma":[0.9991881,0.0004422843,0.0001144119,0.00007911617,0.0001339144,0.00004216214],"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":[0.0002754361,0.00005927156,0.03331111,0.0002099312,0.00005840742,0.0003567544,0.0001302682,0.002644061,0.9115115,0.0003300146,0.0002231031,0.05089001],"study_design_scores_gemma":[0.00003655726,0.001014082,0.07363789,0.00009761793,0.0001561865,0.005329324,0.0001440308,0.03304979,0.8739108,0.001052102,0.01153699,0.0000346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901213,0.01107548,0.08168571,0.000606108,0.0001152781,0.0001977435,0.0006989349,0.0004232593,0.00398444],"genre_scores_gemma":[0.9371338,0.002069667,0.05890809,0.0003673557,0.00003146848,0.00009195777,0.0004671256,0.00001972542,0.0009108465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001627082,"threshold_uncertainty_score":0.008604944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184720042033522,"score_gpt":0.2822729648724952,"score_spread":0.24042576445216,"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."}}