{"id":"W2109895178","doi":"10.2217/pgs.15.27","title":"Elucidating the Genomic Landscape of Breast Cancer: How will this Affect Treatment?","year":2015,"lang":"en","type":"editorial","venue":"Pharmacogenomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Servier; PTC Therapeutics; Pfizer","keywords":"Affect (linguistics); Breast cancer; Medicine; Cancer; Oncology; Bioinformatics; Internal medicine; Biology; Psychology; Communication","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":[0.01294171,0.003015056,0.003973232,0.002872472,0.00218067,0.007530672,0.003786596,0.01712252,0.006665388],"category_scores_gemma":[0.03229297,0.001184121,0.002756814,0.001179325,0.00337484,0.005019916,0.001845267,0.02799073,0.004774495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404751,"about_ca_system_score_gemma":0.003942264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940514,"about_ca_topic_score_gemma":0.005425119,"domain_scores_codex":[0.9947872,0.001157228,0.0006346828,0.000568852,0.002497876,0.0003541937],"domain_scores_gemma":[0.9690078,0.01587786,0.001495082,0.0007504479,0.008802812,0.004065966],"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":[0.00005509873,0.00001993653,0.00005087482,0.0003016996,0.00004081748,0.0001064259,0.00001444339,0.00004898027,0.00009597758,0.0007743071,0.987534,0.01095742],"study_design_scores_gemma":[0.00009070712,0.00006152712,0.0005123494,0.0006179133,0.0001305917,0.0003374736,0.00005048058,0.0002764268,0.0001822354,0.003318225,0.9943845,0.00003761505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003384025,0.01766872,0.0001982609,0.06113536,0.9200578,0.0000128749,0.0000382313,0.00004752593,0.0008073573],"genre_scores_gemma":[0.0003249936,0.01024632,0.0001298359,0.02366089,0.9618713,0.00001319447,0.00002073652,0.00001873047,0.003714077],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01712252,"threshold_uncertainty_score":0.06844306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172723759853898,"score_gpt":0.2854515919271041,"score_spread":0.2737243543285651,"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."}}