{"id":"W3013282680","doi":"10.1158/1538-7445.sabcs19-pd8-01","title":"Abstract PD8-01: The metastatic breast cancer project: Generating the clinical and genomic landscape of metastatic breast cancer through patient-partnered research","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Cancer; Metastatic breast cancer; Biobank; Internal medicine; Oncology; Family medicine; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01693179,0.0006990237,0.0005794665,0.001696665,0.001991617,0.004026138,0.002531952,0.001419593,0.02509082],"category_scores_gemma":[0.03799922,0.0005669284,0.0009121451,0.002586025,0.0008914163,0.001713495,0.01130318,0.002486991,0.008255107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140799,"about_ca_system_score_gemma":0.007580358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009794599,"about_ca_topic_score_gemma":0.01612306,"domain_scores_codex":[0.9915485,0.005276731,0.0003851149,0.001300927,0.001041683,0.0004470586],"domain_scores_gemma":[0.9735147,0.00790616,0.001900214,0.00435093,0.005047337,0.007280663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00201942,0.0004262901,0.05643172,0.001735519,0.0003579684,0.0004030925,0.001757354,0.0009164811,0.001540981,0.008573655,0.8636691,0.06216834],"study_design_scores_gemma":[0.00222437,0.0007661179,0.08405878,0.002023307,0.0004584701,0.0008358972,0.002307824,0.002622842,0.002471088,0.01554504,0.8865449,0.0001412317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0650646,0.002487768,0.02165504,0.02788695,0.001153308,0.003961919,0.8345646,0.003395628,0.03983026],"genre_scores_gemma":[0.1281857,0.001798425,0.0805531,0.005956545,0.0007175488,0.01366402,0.7501197,0.002016784,0.0169882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02509082,"threshold_uncertainty_score":0.08954489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736083492548444,"score_gpt":0.4557741183782423,"score_spread":0.2821657691233979,"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."}}