{"id":"W3181477033","doi":"10.1158/1538-7445.am2021-lb018","title":"Abstract LB018: Cloud-based biological domain knowledge derived gene expression classifier to predict the cancer clinical outcome","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"Radiation therapy; Gene; Gene expression; Bioinformatics; Medicine; Cancer; Signal transduction; Computational biology; Oncology; Cancer research; Biology; Internal medicine; 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":[0.0005879513,0.0007223189,0.000720126,0.001492798,0.0002411197,0.000899905,0.0008922129,0.0007663078,0.003827095],"category_scores_gemma":[0.001741727,0.0001954411,0.0007628666,0.0008511158,0.0001800074,0.0006242064,0.0005244096,0.0005507599,0.001620818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008342274,"about_ca_system_score_gemma":0.0008276204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007508492,"about_ca_topic_score_gemma":0.00444427,"domain_scores_codex":[0.999712,0.00004135039,0.00002978235,0.00009652261,0.00009510168,0.00002511132],"domain_scores_gemma":[0.9994524,0.000229463,0.00007151133,0.00006997585,0.0001291823,0.00004748505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002112065,0.0009157436,0.04315542,0.0006680818,0.0005041003,0.001043587,0.0001888877,0.3245877,0.03369517,0.00416864,0.05610249,0.5328581],"study_design_scores_gemma":[0.00005983087,0.00007454712,0.002435582,0.00001937656,0.00002890273,0.0000991181,0.00001831215,0.9865677,0.004940029,0.00210301,0.003638549,0.00001496598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1487492,0.001264968,0.722515,0.001437979,0.0002631143,0.0005406303,0.02793081,0.09192215,0.005376061],"genre_scores_gemma":[0.6821128,0.0006974702,0.2814105,0.0006713251,0.0001285248,0.000792118,0.02929759,0.0007455865,0.004144121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007508492,"threshold_uncertainty_score":0.01492959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2312644043039251,"score_gpt":0.5231201485028837,"score_spread":0.2918557441989585,"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."}}