{"id":"W4295941875","doi":"10.1158/1557-3265.sarcomas22-ia030","title":"Abstract IA030: A population-based, whole genome sequencing approach to mapping the genetic basis of mesenchymal malignancies","year":2022,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Cancer; Sarcoma; Population; Germline; Cancer research; Genetics; Medicine; Pathology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105583,0.0003250064,0.0002922631,0.001434702,0.0003282962,0.0006109451,0.0003903591,0.0004252018,0.002929398],"category_scores_gemma":[0.001450379,0.000202025,0.0005099479,0.001170619,0.0002198909,0.00007248719,0.0004484214,0.000555843,0.0004496269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212218,"about_ca_system_score_gemma":0.0005613864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006687756,"about_ca_topic_score_gemma":0.01023272,"domain_scores_codex":[0.9995124,0.000169658,0.00002290735,0.000176055,0.00008599292,0.00003297985],"domain_scores_gemma":[0.999558,0.0001830264,0.0000815953,0.00006184594,0.00005844387,0.00005710134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002100673,0.0003940276,0.4185376,0.0002239267,0.00161626,0.00317574,0.0008604311,0.009211196,0.3989215,0.006401158,0.0144363,0.1441212],"study_design_scores_gemma":[0.0003530179,0.0009845771,0.9136989,0.00004584806,0.0009009853,0.004824373,0.0003877339,0.01965728,0.02974576,0.002960329,0.02637781,0.00006338683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892334,0.0007185236,0.07803706,0.0005271483,0.00008316286,0.0005732412,0.02230145,0.000605031,0.007920977],"genre_scores_gemma":[0.9337292,0.0004290664,0.05224919,0.0004647327,0.00006702756,0.0004721777,0.008060562,0.0001544744,0.004373536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006687756,"threshold_uncertainty_score":0.01329768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.345362259371808,"score_gpt":0.4600828781262148,"score_spread":0.1147206187544069,"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."}}