{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008006716,0.0002589328,0.0002428271,0.0001351754,0.00008425701,0.0001540777,0.0003131495,0.000197139,0.0005589123],"category_scores_gemma":[0.0000887803,0.00009866802,0.00009264596,0.00009542756,0.000138679,0.0001542363,0.0001120495,0.0002983783,0.0001640506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461606,"about_ca_system_score_gemma":0.0001621987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006461515,"about_ca_topic_score_gemma":0.002059784,"domain_scores_codex":[0.9999546,0.000007372951,0.000002717424,0.000009502695,0.00001296554,0.00001281502],"domain_scores_gemma":[0.999969,0.000005399664,0.00001108802,0.000003204814,0.000004838723,0.000006439063],"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":[0.0001388058,0.0000561826,0.0001286567,0.0001003396,0.000009493127,0.0001144689,0.00002510579,0.0007639121,0.9899316,0.0002699157,0.00016496,0.008296672],"study_design_scores_gemma":[0.0001280293,0.0007560449,0.0005914944,0.00001145697,0.00001483297,0.0004241056,0.0000143138,0.0013697,0.9902439,0.00005987681,0.00637594,0.0000103049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799376,0.00705806,0.006569374,0.0002221883,0.00005095736,0.0001619512,0.0002033883,0.0002119127,0.00558458],"genre_scores_gemma":[0.9904108,0.003371831,0.004061088,0.00006354037,0.00001142612,0.00004800333,0.000155218,0.00001638707,0.001861814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006461515,"threshold_uncertainty_score":0.002511561,"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."}}