{"id":"W4402501807","doi":"10.11159/icbb24.128","title":"An Investigation into EGFR Tyrosine Kinase Inhibitors: Adverse Events, Cost and Prescribing Trends","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tyrosine kinase; Adverse effect; Medicine; Computer science; Pharmacology; Internal medicine; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002159555,0.0002182487,0.000272152,0.002329246,0.0001931636,0.00116466,0.0002896907,0.0003967238,0.00124167],"category_scores_gemma":[0.009636669,0.0001236555,0.0008386001,0.005402381,0.0001372384,0.001248503,0.0002492637,0.0004987037,0.0002360613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574936,"about_ca_system_score_gemma":0.001235069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009088244,"about_ca_topic_score_gemma":0.01222868,"domain_scores_codex":[0.9978892,0.0004698146,0.0003924613,0.0001731265,0.0009667081,0.0001087183],"domain_scores_gemma":[0.9886709,0.003377462,0.005009822,0.0001636711,0.002414098,0.0003639511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004578349,0.0001743512,0.9558216,0.0002146795,0.0002175862,0.0001048753,0.00007183509,0.001210922,0.0002474214,0.000383601,0.00134848,0.03974681],"study_design_scores_gemma":[0.00001906666,0.000553325,0.9891198,0.00009696664,0.0001359844,0.0003787091,0.0002793685,0.003924598,0.0004353459,0.0001632289,0.004880271,0.00001338388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964673,0.008305728,0.0007903767,0.002734322,0.00005602138,0.0001318409,0.01383791,0.00003025016,0.009440505],"genre_scores_gemma":[0.9887658,0.004104114,0.0009781547,0.000649585,0.0001262465,0.00006228714,0.004267457,0.00001048134,0.001035958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009088244,"threshold_uncertainty_score":0.0180707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617566747137884,"score_gpt":0.301927394778965,"score_spread":0.2857517273075862,"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."}}