{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002218115,0.0006624976,0.0006468192,0.0004414376,0.0001357387,0.0002108346,0.0003609895,0.0004020893,0.001022485],"category_scores_gemma":[0.00009548846,0.0001827762,0.0004462626,0.0001704601,0.0002616415,0.0002084444,0.0001377272,0.0007217605,0.0002581115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251712,"about_ca_system_score_gemma":0.0003117319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004687821,"about_ca_topic_score_gemma":0.002026304,"domain_scores_codex":[0.9998117,0.00003265473,0.00001607499,0.00002581784,0.00006241952,0.00005127756],"domain_scores_gemma":[0.9998835,0.00001289231,0.00004230798,0.00001102823,0.0000101343,0.00004006605],"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":[0.002910452,0.0009668333,0.0005566711,0.0001051872,0.0000406318,0.00007704321,0.00001456177,0.00013652,0.9890386,0.00004750393,0.0001017627,0.006004247],"study_design_scores_gemma":[0.0007049358,0.02444282,0.006457367,0.0000230998,0.0001381006,0.0005342694,0.00004298307,0.0005055848,0.9640951,0.00003108637,0.003011487,0.0000130697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972336,0.001194851,0.0004286026,0.00009687749,0.0000329543,0.00005398862,0.0001384982,0.00003794291,0.0007828475],"genre_scores_gemma":[0.9933395,0.001908277,0.001503749,0.00006745748,0.00002777854,0.0000829095,0.0003745171,0.00001163853,0.00268416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022485,"threshold_uncertainty_score":0.003420591,"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."}}