{"id":"W2168507982","doi":"10.1634/theoncologist.2014-0372","title":"Defining Breast Cancer Intrinsic Subtypes by Quantitative Receptor Expression","year":2015,"lang":"en","type":"article","venue":"The Oncologist","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research; BC Cancer Agency; University of British Columbia","funders":"National Cancer Institute; Federación Española de Enfermedades Raras; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Breast cancer; Expression (computer science); Cancer; Cancer research; Computational biology; Biology; Oncology; Medicine; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687523,0.0001389831,0.0001392908,0.00001139237,0.0001343419,0.00001638599,0.0001824766,0.00007869602,0.00003199153],"category_scores_gemma":[0.00008957897,0.00008621373,0.00004008308,0.00007229255,0.0002528806,0.00000409083,0.0001675281,0.00007475627,0.00006136834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009747352,"about_ca_system_score_gemma":0.0001275549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005557543,"about_ca_topic_score_gemma":0.0002563315,"domain_scores_codex":[0.9992368,0.0001028167,0.0001146809,0.0002409117,0.0001090503,0.0001957557],"domain_scores_gemma":[0.9994782,0.00004278392,0.00009528753,0.0002173545,0.0001056289,0.00006074618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002341612,0.0003134524,0.06013636,0.00001402027,0.0003007692,0.000004518456,0.001182821,0.0001012237,0.1195584,0.0009323061,0.7918496,0.02326492],"study_design_scores_gemma":[0.006217277,0.001738303,0.08416206,0.0001571868,0.0002412371,0.00008664557,0.008166548,0.00001987431,0.3558813,0.0006046952,0.5415782,0.001146661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651399,0.01856994,0.0002080573,0.008977433,0.0007912595,0.0003007755,0.0005366989,0.00005972077,0.005416169],"genre_scores_gemma":[0.9973756,0.0005665745,0.0006199311,0.0004648573,0.0001887514,0.0001206589,0.0001026936,0.00001750605,0.0005433972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2502714,"threshold_uncertainty_score":0.3515694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440197533705295,"score_gpt":0.3159511142045415,"score_spread":0.2915491388674886,"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."}}