{"id":"W4403419632","doi":"10.1016/j.jtho.2024.09.517","title":"P2.16F.03 Development of a Patient-Friendly Lung Cancer Lexicon","year":2024,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Charles-Le Moyne","funders":"","keywords":"Medicine; Lexicon; Lung cancer; Radiology; Oncology; Natural language processing","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":[0.004213517,0.0005589848,0.0007426317,0.002853552,0.0007504956,0.004495925,0.002059161,0.001630132,0.08142766],"category_scores_gemma":[0.021762,0.0007009209,0.0006621412,0.001381227,0.000460605,0.004236034,0.004823094,0.001920692,0.05328669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464959,"about_ca_system_score_gemma":0.004658675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199716,"about_ca_topic_score_gemma":0.004898779,"domain_scores_codex":[0.9978865,0.0005837294,0.000283061,0.0003193108,0.0007539107,0.0001733469],"domain_scores_gemma":[0.9898196,0.003442837,0.0004179004,0.001301408,0.004155639,0.000862501],"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":[0.0002632742,0.00009478961,0.006767381,0.0005639115,0.00004159465,0.0006569659,0.0008313449,0.001059393,0.005440472,0.0281652,0.758804,0.1973117],"study_design_scores_gemma":[0.00008665561,0.00005073861,0.002201499,0.0002113393,0.00003592225,0.0009907647,0.0002927839,0.006593725,0.003996931,0.01106374,0.974431,0.00004489053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03025916,0.001102228,0.3354567,0.02846159,0.003647834,0.002057502,0.1292634,0.1296773,0.3400741],"genre_scores_gemma":[0.1817642,0.001159434,0.4480308,0.008935349,0.001565451,0.001721446,0.2243337,0.04388754,0.08860205],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08142766,"threshold_uncertainty_score":0.2724026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791720354257524,"score_gpt":0.4657494976444537,"score_spread":0.4478322941018784,"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."}}