{"id":"W1525771749","doi":"10.18632/oncotarget.3036","title":"Predicting response to HER2 kinase inhibition","year":2014,"lang":"en","type":"letter","venue":"Oncotarget","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Kinase; Cancer research; Medicine; Lapatinib; Cancer; Oncology; Internal medicine; Biology; Trastuzumab; Breast cancer; Cell biology","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":[0.001806416,0.0007846372,0.001343685,0.0007484194,0.001070452,0.001254933,0.001225034,0.01231595,0.004297488],"category_scores_gemma":[0.01545344,0.0003827758,0.001124245,0.00051117,0.0009642315,0.001379524,0.0005354679,0.01333647,0.006939299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977886,"about_ca_system_score_gemma":0.001054253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003716341,"about_ca_topic_score_gemma":0.004166561,"domain_scores_codex":[0.9984125,0.0004679243,0.0002885219,0.0002145962,0.0004612484,0.0001552634],"domain_scores_gemma":[0.9954178,0.002396005,0.0002546488,0.0001756605,0.001346404,0.0004095494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001553164,0.00004207277,0.002809857,0.00006767294,0.00002193449,0.003316654,0.00003928404,0.0001833287,0.0003991761,0.0007403414,0.9682773,0.0239471],"study_design_scores_gemma":[0.0005496489,0.0005298434,0.01291689,0.0009208504,0.0002381252,0.02057973,0.0004571854,0.004594458,0.003153403,0.01578108,0.940084,0.0001947566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001445723,0.002045886,0.0003698143,0.9575259,0.03385786,0.0000381847,0.0002827065,0.00009329749,0.004340576],"genre_scores_gemma":[0.01736823,0.002796364,0.0007408677,0.8593415,0.1103335,0.00008273068,0.0002581782,0.00004376229,0.009034914],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01231595,"threshold_uncertainty_score":0.02160621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106522826014464,"score_gpt":0.3567094642145497,"score_spread":0.3156442359544051,"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."}}