{"id":"W4223975182","doi":"10.3389/fmolb.2022.783494","title":"‘Breast Cancer Resistance Likelihood and Personalized Treatment Through Integrated Multiomics’","year":2022,"lang":"en","type":"review","venue":"Frontiers in Molecular Biosciences","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Breast cancer; Medicine; Disease; Cancer; Breast carcinoma; Oncology; Drug resistance; Targeted therapy; Carcinoma; Internal medicine; Bioinformatics; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001974987,0.0004913965,0.0008769705,0.0001714612,0.0001727267,0.00009411322,0.0004800052,0.000250419,0.0000346473],"category_scores_gemma":[0.00005173845,0.0004173947,0.0002931769,0.0005116595,0.0004337987,0.000006916574,0.0002132139,0.0001832602,8.229536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725309,"about_ca_system_score_gemma":0.0009893356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003162754,"about_ca_topic_score_gemma":0.0003303016,"domain_scores_codex":[0.9976761,0.0001844602,0.0004189122,0.001030008,0.0002261803,0.0004643033],"domain_scores_gemma":[0.9991667,0.00002449805,0.0002554306,0.000408724,0.00003325522,0.0001113892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001027704,0.0002224988,0.0003012528,0.001019491,0.0003434234,0.00008489651,0.0002531245,0.00001450905,0.0004344835,0.0001698156,0.005241995,0.9918118],"study_design_scores_gemma":[0.0004973994,0.0001176579,0.000006927225,0.0004971814,0.0002014008,0.00002996698,0.0002618923,0.00001822446,0.0001412838,0.0001072911,0.9976251,0.000495745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003626035,0.9951991,0.001313058,0.00008379099,0.001046765,0.0006372384,0.001128218,0.0000102947,0.0002189688],"genre_scores_gemma":[0.00004951192,0.9913176,0.007189481,0.0001422773,0.00009502667,0.0004364895,0.0003411293,0.0000499725,0.0003785716],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9923831,"threshold_uncertainty_score":0.9998278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721961990443793,"score_gpt":0.2924749558408336,"score_spread":0.2752553359363957,"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."}}