{"id":"W4205712587","doi":"10.1158/1538-7445.sabcs20-ot-18-01","title":"Abstract OT-18-01: The metastatic breast cancer project: Generating the clinical and genomic landscape of metastatic breast cancer through patient-partnered research","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Metastatic breast cancer; Medicine; Biobank; Cancer; Internal medicine; Oncology; Medical record; Exome sequencing; Family medicine; Bioinformatics; Biology; Genetics; Gene","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":[0.01840607,0.0005657651,0.0005210308,0.001212147,0.002843557,0.00438102,0.001901609,0.001557195,0.02327597],"category_scores_gemma":[0.03769369,0.0005122259,0.0008593824,0.002198283,0.001262525,0.001684104,0.00876868,0.002397265,0.006029468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002891683,"about_ca_system_score_gemma":0.01063659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463367,"about_ca_topic_score_gemma":0.04033529,"domain_scores_codex":[0.9926571,0.004321203,0.0002692874,0.0009451962,0.001038945,0.0007680998],"domain_scores_gemma":[0.9659528,0.008298794,0.0019638,0.00418012,0.005907042,0.01369759],"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":[0.004748011,0.001209033,0.1340982,0.001314929,0.0003297734,0.00102542,0.00658292,0.001043931,0.00257677,0.01148967,0.7366309,0.09895044],"study_design_scores_gemma":[0.004478888,0.002385269,0.21324,0.002405545,0.000623062,0.001282055,0.0111159,0.003964761,0.002959389,0.01758095,0.7397175,0.0002466835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2609155,0.003014584,0.02744684,0.05081294,0.002454207,0.01039105,0.5776276,0.003176841,0.06416058],"genre_scores_gemma":[0.363505,0.002070913,0.08904974,0.009613354,0.001473175,0.01966533,0.4795117,0.002586313,0.03252444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02463367,"threshold_uncertainty_score":0.09734184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1663408218777795,"score_gpt":0.466442195812203,"score_spread":0.3001013739344235,"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."}}