{"id":"W2886614406","doi":"10.1158/1538-7445.am2018-1044","title":"Abstract 1044: Establishment and characterization of rare breast patient-derived xenograft models as a potential resource for personalized medicine","year":2018,"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":"Jewish General Hospital","funders":"","keywords":"Breast cancer; Medicine; Personalized medicine; Cancer; Biomarker; Oncology; KRAS; Pathology; Internal medicine; Cancer research; Bioinformatics; Biology; Genetics","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":[0.0007879287,0.0003603253,0.0003843778,0.0005039155,0.0002929058,0.0005014149,0.0003091755,0.0003320115,0.002274968],"category_scores_gemma":[0.0003554683,0.0001532688,0.0003631906,0.0003696661,0.0001867526,0.0002476021,0.000297078,0.0009332093,0.0008266163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529354,"about_ca_system_score_gemma":0.0002712156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006521154,"about_ca_topic_score_gemma":0.0007259619,"domain_scores_codex":[0.9996523,0.00008475074,0.00004353317,0.00006020856,0.0001184367,0.00004082518],"domain_scores_gemma":[0.9996269,0.00009052051,0.0000584441,0.0001055872,0.00006192869,0.00005662879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000289852,0.0002378022,0.003492807,0.00007408802,0.00002791208,0.000227624,0.00005019888,0.0005767445,0.9883696,0.000368685,0.0007151385,0.005569619],"study_design_scores_gemma":[0.00006864347,0.002173973,0.0235667,0.00002829562,0.00009992404,0.002734263,0.000133108,0.007549183,0.9465349,0.0002454546,0.01684192,0.00002364187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595001,0.001027969,0.02881818,0.0002320738,0.0001319759,0.0004188194,0.006258181,0.0004101267,0.003202617],"genre_scores_gemma":[0.9392412,0.001284073,0.03547287,0.000223019,0.00003018484,0.0006602713,0.01744935,0.0001559127,0.005483087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002274968,"threshold_uncertainty_score":0.0076105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001319428699945,"score_gpt":0.3285365729046281,"score_spread":0.2985233786176287,"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."}}