{"id":"W2094628038","doi":"10.1021/om300974d","title":"Targeting Epidermal Growth Factor Receptor with Ferrocene-Based Kinase Inhibitors","year":2013,"lang":"en","type":"article","venue":"Organometallics","topic":"Ferrocene Chemistry and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Royal Society of Chemistry; Royal Society; Cancer Research UK","keywords":"Chemistry; Ferrocene; Epidermal growth factor receptor; IC50; In vitro; Stereochemistry; Combinatorial chemistry; Amine gas treating; Epidermal growth factor; Solid-state; Kinase; Receptor; Biochemistry; Organic chemistry; Electrochemistry; Electrode","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":[0.00004807722,0.0003408708,0.0002685973,0.00004396508,0.0002267788,0.0001069949,0.0003462414,0.0001830266,0.01458008],"category_scores_gemma":[0.000136266,0.0002964241,0.00009215171,0.0003829929,0.000122486,0.0002352632,0.00006337304,0.0003111348,0.0005896797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022332,"about_ca_system_score_gemma":0.0001237694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003802914,"about_ca_topic_score_gemma":0.000001573231,"domain_scores_codex":[0.9983914,0.0000106707,0.0003556309,0.0004932688,0.0002750546,0.0004739259],"domain_scores_gemma":[0.9988005,0.00009335728,0.0001807899,0.000420073,0.0002163922,0.0002888703],"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":[0.0000159272,0.0002261251,0.00736652,0.0002564656,0.00004461763,0.000003747258,0.00008021892,0.00004738734,0.9877514,0.0001285278,0.00286726,0.001211857],"study_design_scores_gemma":[0.0005160308,0.00001660225,0.0003720396,0.00004241905,0.00002743261,0.000004126059,0.0001872065,0.0002995264,0.9873378,0.00008388898,0.01063471,0.0004781967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915251,0.0001064237,0.0008835263,0.001189232,0.00003789367,0.0001471123,0.00006832633,0.0002890571,0.005753338],"genre_scores_gemma":[0.992746,0.00001645239,0.004203317,0.0002321663,0.0003162317,0.0001482323,0.0003481336,0.00008223848,0.001907258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0139904,"threshold_uncertainty_score":0.9999488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102646960242893,"score_gpt":0.2074259159109991,"score_spread":0.1963994463085702,"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."}}