{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004780174,0.0008392072,0.001607579,0.00147089,0.0005709581,0.003728917,0.001198309,0.001938465,0.002780723],"category_scores_gemma":[0.007860558,0.0004546664,0.001395124,0.001688449,0.001237968,0.00299971,0.002269149,0.003364685,0.001035786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531258,"about_ca_system_score_gemma":0.001609783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829584,"about_ca_topic_score_gemma":0.00239211,"domain_scores_codex":[0.9979558,0.0007955345,0.00009998475,0.0004967757,0.0005279401,0.0001239198],"domain_scores_gemma":[0.9974254,0.00124476,0.000332878,0.0002435829,0.0005864743,0.0001669327],"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":[0.0005334874,0.0001987716,0.03460332,0.004382959,0.001194264,0.0006498336,0.0009884207,0.01580153,0.02200553,0.06054338,0.09466112,0.7644374],"study_design_scores_gemma":[0.0001329472,0.0006875242,0.03549554,0.002318975,0.00134223,0.002680123,0.001236587,0.08948898,0.0232951,0.2458536,0.5969477,0.0005207953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04472002,0.3590132,0.439918,0.1138076,0.00618506,0.0003988085,0.005528837,0.004429195,0.02599929],"genre_scores_gemma":[0.4929032,0.1979062,0.2529447,0.03237355,0.006904836,0.0005972954,0.006462902,0.000909231,0.00899817],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004780174,"threshold_uncertainty_score":0.0252803,"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."}}