{"id":"W2765899161","doi":"10.1016/j.celrep.2017.10.015","title":"A Targetable EGFR-Dependent Tumor-Initiating Program in Breast Cancer","year":2017,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University and Génome Québec Innovation Centre; Jewish General Hospital; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Genome Canada; Canadian Institutes of Health Research; McGill University Health Centre; Stand Up To Cancer; McGill University","keywords":"Gefitinib; Epidermal growth factor receptor; Cancer research; Breast cancer; Triple-negative breast cancer; EGFR inhibitors; Biology; Metastatic breast cancer; Cancer; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009163903,0.00008895937,0.000176181,0.0001842285,0.0001348743,0.0002735698,0.0000726663,0.0001070652,0.0006463825],"category_scores_gemma":[0.00008532315,0.00007184156,0.00007265175,0.0001432631,0.0001064405,0.0001217045,0.0001566023,0.0002095835,0.0002174488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761509,"about_ca_system_score_gemma":0.0001592506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004060997,"about_ca_topic_score_gemma":0.0008072862,"domain_scores_codex":[0.9999419,0.000005343313,0.000003922849,0.00001637533,0.00002049495,0.00001192804],"domain_scores_gemma":[0.9999503,0.000009269973,0.00001075832,0.000007353013,0.000006958625,0.0000154548],"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":[0.00004148773,0.00001255125,0.001129837,0.00001332042,0.000001294487,0.00002358471,0.00001733704,0.00007107363,0.9958449,0.0001026953,0.00003112365,0.002710777],"study_design_scores_gemma":[0.000008123156,0.0003486188,0.06973542,0.000005127311,0.00001696941,0.0009002214,0.00007852069,0.002152402,0.9226043,0.0002127539,0.003932465,0.000005190868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995603,0.0007514577,0.001998429,0.00003295845,0.000003620926,0.00002262438,0.0002942085,0.00006440981,0.00122928],"genre_scores_gemma":[0.9958279,0.0004224602,0.001646149,0.00003554731,0.000004753756,0.0000191159,0.0005261168,0.00001515115,0.001502772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006463825,"threshold_uncertainty_score":0.002162337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193804124419668,"score_gpt":0.3111161914840679,"score_spread":0.2891781502398713,"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."}}