{"id":"W4403537638","doi":"10.1016/j.esmoop.2024.103754","title":"8P Precision medicine drug testing platform to guide the treatment of EML4-ALK fusion lung cancers","year":2024,"lang":"en","type":"article","venue":"ESMO Open","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Precision medicine; Drug; Lung; Oncology; Medical physics; Internal medicine; Pharmacology; Pathology","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":[0.003560871,0.0009528593,0.001034458,0.001982377,0.0004519364,0.002674676,0.001390324,0.002355623,0.03063223],"category_scores_gemma":[0.006399857,0.0004365341,0.000851654,0.000660511,0.0005237288,0.00120961,0.001711321,0.001957255,0.01383278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097567,"about_ca_system_score_gemma":0.002643987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370771,"about_ca_topic_score_gemma":0.00238411,"domain_scores_codex":[0.998459,0.0003634936,0.0001053441,0.0002364561,0.0007334342,0.000102256],"domain_scores_gemma":[0.9971144,0.0008048342,0.0003940693,0.0002412654,0.001142798,0.000302649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001207008,0.0002823795,0.007928648,0.001223244,0.0002364494,0.001364999,0.0001286955,0.008583343,0.02554318,0.01700735,0.2407165,0.6957782],"study_design_scores_gemma":[0.0004806941,0.001238498,0.003882629,0.0008357435,0.0002894666,0.002001077,0.00009960878,0.02767521,0.04327283,0.02614522,0.8939722,0.0001067772],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0385461,0.08455168,0.427298,0.09982566,0.008461531,0.002856931,0.04822911,0.04655917,0.2436719],"genre_scores_gemma":[0.4087734,0.04876408,0.3634311,0.04171076,0.005461042,0.002943344,0.03094343,0.002957874,0.09501503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03063223,"threshold_uncertainty_score":0.102475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747564389814995,"score_gpt":0.4132002471207954,"score_spread":0.3657246032226454,"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."}}