{"id":"W2592506457","doi":"10.1158/1538-7445.sabcs16-p2-05-19","title":"Abstract P2-05-19: Impact of TP53 functional mutation type on clinical outcomes of advanced breast cancer patients","year":2017,"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":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Breast cancer; Internal medicine; Oncology; Cancer; Hazard ratio; Cohort; Triple-negative breast cancer; Exact test; Clinical significance; Confidence interval","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":[0.0004261713,0.0001912129,0.0002765386,0.0003305061,0.0002841211,0.0005807188,0.0003486794,0.0003095545,0.005672764],"category_scores_gemma":[0.001205537,0.00007247571,0.000449517,0.0007483695,0.0001774991,0.0003204776,0.0003580404,0.0005085614,0.0008510287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003743468,"about_ca_system_score_gemma":0.0002820335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441514,"about_ca_topic_score_gemma":0.001610502,"domain_scores_codex":[0.9997666,0.0000434921,0.00002043642,0.00007415539,0.00004876638,0.00004660666],"domain_scores_gemma":[0.999159,0.0001538199,0.0002770245,0.00004518291,0.0001201522,0.0002448379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003362536,0.0001186564,0.9787517,0.00006334765,0.0001183614,0.0002341657,0.00003477723,0.0001967219,0.002353939,0.00004299294,0.002339619,0.01238321],"study_design_scores_gemma":[0.00005964855,0.000475287,0.9965828,0.00001467733,0.0001150178,0.0004569054,0.00006410589,0.0003786208,0.0005491549,0.000107137,0.001190485,0.000006101787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935058,0.0004872354,0.0001302286,0.000206508,0.00002725983,0.00001904345,0.004160772,0.00001494194,0.001448142],"genre_scores_gemma":[0.9958729,0.000104783,0.00009823181,0.00008345472,0.00003206533,0.00002423014,0.003189629,0.000007959861,0.0005866939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005672764,"threshold_uncertainty_score":0.01897722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08773705134991443,"score_gpt":0.4818378567867054,"score_spread":0.394100805436791,"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."}}