{"id":"W2111144249","doi":"10.1158/1078-0432.ccr-06-1119","title":"The Combination of the Rexinoid, LG100268, and a Selective Estrogen Receptor Modulator, Either Arzoxifene or Acolbifene, Synergizes in the Prevention and Treatment of Mammary Tumors in an Estrogen Receptor–Negative Model of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Cancer Institute","keywords":"Selective estrogen receptor modulator; Estrogen receptor; Estrogen; Pharmacology; In vivo; Mammary tumor; Cancer; Antiestrogen; Medicine; Internal medicine; Cancer research; Breast cancer; Biology; Biotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.00113916,0.0001340093,0.0002620708,0.00005459551,0.00009742926,0.00001454489,0.0002493686,0.0001969427,0.000003172777],"category_scores_gemma":[0.0001061491,0.00006835245,0.00008792906,0.0003475833,0.0006086752,0.00001505636,0.00009795211,0.0002374524,1.041485e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007382227,"about_ca_system_score_gemma":0.0004553069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441862,"about_ca_topic_score_gemma":0.001159648,"domain_scores_codex":[0.997602,0.001075901,0.0004792321,0.0003255248,0.0002813139,0.0002360582],"domain_scores_gemma":[0.9989192,0.0002679605,0.0002095434,0.0003072877,0.0002503439,0.00004558796],"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":[0.00863781,0.002686187,0.3513358,0.0001215176,0.0004066467,0.000002761511,0.0009582643,0.002749139,0.5854319,0.001988258,0.0004039062,0.04527778],"study_design_scores_gemma":[0.007684438,0.006747252,0.3646203,0.000432735,0.0001000886,0.000009846256,0.0009783974,0.0104999,0.6048821,0.003591374,0.0001189146,0.0003346226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948003,0.003696818,0.000005686089,0.0004913349,0.00002975959,0.0008679015,0.00006318061,0.000001971496,0.00004302011],"genre_scores_gemma":[0.99331,0.006052818,0.00008169342,0.0000101368,0.00005780425,0.0002603801,0.00001258428,0.00001511117,0.0001994975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04494315,"threshold_uncertainty_score":0.2787332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765602354531068,"score_gpt":0.402088793871903,"score_spread":0.3544327703265923,"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."}}