{"id":"W2944090377","doi":"10.1158/1538-7445.sabcs18-p6-17-29","title":"Abstract P6-17-29: Withdrawn","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Breast Cancer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":"Princess Margaret Cancer Centre; University of Toronto; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Cancer; Breast cancer; Citation; Gerontology; Gynecology; Library science; Internal medicine; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004748162,0.0001435189,0.0002762544,0.0002019945,0.0001020733,0.00003549513,0.000217163,0.0000920807,0.01006033],"category_scores_gemma":[0.00004993262,0.0001193869,0.00007100691,0.0004892359,0.000244594,0.0001587156,0.00008359558,0.0007771111,0.001436109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954757,"about_ca_system_score_gemma":0.0006397611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004225459,"about_ca_topic_score_gemma":0.00006295358,"domain_scores_codex":[0.9977862,0.00003652329,0.0001807789,0.0004219181,0.0008945007,0.0006800893],"domain_scores_gemma":[0.9985799,0.0001147822,0.00003904748,0.0006229262,0.0003991615,0.0002441408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003442845,0.0002592125,0.06509034,0.0007836625,0.0003154109,0.0001476291,0.001766303,0.0001832933,0.7246135,0.0009372408,0.02094642,0.1815142],"study_design_scores_gemma":[0.004668202,0.0004934571,0.2206086,0.0008229144,0.00002058498,0.00005081067,0.0008259139,0.00003232082,0.07066108,0.001151963,0.7002989,0.000365281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538482,0.003675873,0.00002331157,0.003613854,0.0002633262,0.0007789269,0.0000162352,0.00009514246,0.03768514],"genre_scores_gemma":[0.9635108,0.0002151373,0.0002174834,0.0004828555,0.0005753657,0.0001741969,0.000008858831,0.00005721889,0.03475815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6793525,"threshold_uncertainty_score":0.9993414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07313228600122833,"score_gpt":0.443659084831778,"score_spread":0.3705267988305496,"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."}}