{"id":"W4220849940","doi":"10.1158/1538-7445.sabcs21-ot1-19-01","title":"Abstract OT1-19-01: The metastatic breast cancer project: Generating the clinical and genomic landscape of metastatic breast cancer through patient-partnered research","year":2022,"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; Metastatic breast cancer; Medicine; Biobank; Cancer; Internal medicine; Oncology; genomic DNA; Family medicine; Bioinformatics; DNA; Genetics; 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":[0.02182761,0.0006693253,0.0005736831,0.001359612,0.003229138,0.005112347,0.002302706,0.001781669,0.02777956],"category_scores_gemma":[0.04029328,0.0005614194,0.0009613233,0.0023997,0.001357259,0.001878777,0.01073926,0.002651048,0.007139479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503703,"about_ca_system_score_gemma":0.01316014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02706834,"about_ca_topic_score_gemma":0.04358983,"domain_scores_codex":[0.9906437,0.005632326,0.0003225746,0.001104962,0.001347645,0.0009487793],"domain_scores_gemma":[0.9614257,0.009120768,0.002061698,0.004510169,0.006666902,0.0162148],"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":[0.003851486,0.0009817163,0.09019271,0.001182348,0.0002830918,0.0007662568,0.004701728,0.0009390474,0.002329689,0.01220809,0.8006682,0.08189566],"study_design_scores_gemma":[0.00431537,0.00202928,0.1705337,0.00233758,0.0005346462,0.001094906,0.008415377,0.003872539,0.002811792,0.01888,0.7849334,0.0002414873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.187374,0.002862167,0.02441617,0.06526117,0.002956347,0.01039138,0.634179,0.003254236,0.06930555],"genre_scores_gemma":[0.2761393,0.002145401,0.08227355,0.01159134,0.001636859,0.01976887,0.5681839,0.003213824,0.03504703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02777956,"threshold_uncertainty_score":0.1154368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464112423154992,"score_gpt":0.4570803367954893,"score_spread":0.3106690944799901,"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."}}