{"id":"W3014082077","doi":"10.1158/1538-7445.sabcs19-p3-07-08","title":"Abstract P3-07-08: Comparison of MammaTyper® RT-qPCR based subtyping with simulated breast cancer prognostic signatures","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Subtyping; Breast cancer; Oncology; Pairwise comparison; Internal medicine; Cancer; Medicine; Artificial intelligence; Computer science","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":[0.00200801,0.0004865526,0.0002328091,0.0003995752,0.0001332737,0.0004489091,0.0004979641,0.0004328549,0.001799689],"category_scores_gemma":[0.003567094,0.0001915343,0.0004273535,0.0002982031,0.00026696,0.0001830007,0.0003116341,0.0003774452,0.0008134216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330331,"about_ca_system_score_gemma":0.0003868371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669484,"about_ca_topic_score_gemma":0.001564006,"domain_scores_codex":[0.9991952,0.0002255133,0.00005122298,0.0002074869,0.0002698369,0.00005078651],"domain_scores_gemma":[0.9983671,0.0009061688,0.0002063681,0.0001933101,0.0002758702,0.00005117252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005067515,0.0007811287,0.208459,0.0005124793,0.0003681536,0.0002657225,0.0003354501,0.2832665,0.3747465,0.001204566,0.005820294,0.1191727],"study_design_scores_gemma":[0.0001097834,0.001493168,0.1064144,0.00002762842,0.000114508,0.0006030462,0.0001114334,0.5575057,0.3294965,0.001011585,0.003048797,0.00006351231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516281,0.0001455357,0.04223565,0.00008746798,0.00003333139,0.000160838,0.002914007,0.0009599148,0.001835061],"genre_scores_gemma":[0.9641829,0.00007860968,0.02921699,0.00006677386,0.0000104281,0.0002437056,0.005195372,0.0001228782,0.0008824432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00200801,"threshold_uncertainty_score":0.01061946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05304415629118996,"score_gpt":0.3979662930775171,"score_spread":0.3449221367863271,"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."}}