{"id":"W2942888026","doi":"10.1158/1538-7445.sabcs18-p4-13-13","title":"Abstract P4-13-13: Meta-analyses of visceral versus non-visceral metastases treated by AI &amp; SERD agents as 2nd line endocrine therapy (ET) for HR+ breast cancer (BC)","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Fulvestrant; Metastatic breast cancer; Hazard ratio; Medicine; Internal medicine; Oncology; Cancer; Breast cancer; Confidence interval; Estrogen receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008947154,0.0006956401,0.001869747,0.0005486537,0.0001963113,0.00009372894,0.0005822831,0.0001664934,0.01812009],"category_scores_gemma":[0.000118319,0.000510365,0.0008605276,0.001019835,0.0004405007,0.0004748164,0.0001500539,0.0008943814,0.0001153828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007882183,"about_ca_system_score_gemma":0.001131953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04954064,"about_ca_topic_score_gemma":0.002830569,"domain_scores_codex":[0.9945815,0.0002791473,0.0008827194,0.001139094,0.001721004,0.001396521],"domain_scores_gemma":[0.995598,0.0006343198,0.0003554234,0.001174648,0.001744449,0.0004931943],"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":[0.07639739,0.001736401,0.008147934,0.001216998,0.03737072,0.00007541552,0.0008651353,0.003373848,0.7830706,0.00006306659,0.03067239,0.05701013],"study_design_scores_gemma":[0.05244205,0.003673318,0.03033665,0.0006022213,0.00509534,0.00008807074,0.0004598153,0.0004021915,0.7241886,0.0003806386,0.1808437,0.001487363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709598,0.01372936,0.0001044956,0.007072788,0.0004033535,0.00305981,0.003795259,0.00009723625,0.0007778803],"genre_scores_gemma":[0.9764827,0.003675288,0.0002320455,0.0009248964,0.0005309047,0.001815975,0.0005704601,0.0002126794,0.01555508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501713,"threshold_uncertainty_score":0.9997348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2967427410094357,"score_gpt":0.5427007026166639,"score_spread":0.2459579616072282,"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."}}