{"id":"W4282973317","doi":"10.1158/1538-7445.am2022-6299","title":"Abstract 6299: Population kinetics (PopKin) of non-small cell lung cancer (NSCLC) adjuvant therapy","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Adjuvant; Population; Oncology; Internal medicine; Chemotherapy; Surgery","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":[0.002455615,0.0005488231,0.0005544649,0.0006844801,0.0001335212,0.0007998073,0.0004008903,0.0003569984,0.00629438],"category_scores_gemma":[0.004892862,0.0001879384,0.0006157611,0.0005648375,0.0001820532,0.0007414808,0.0003510441,0.0006644745,0.001026763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209363,"about_ca_system_score_gemma":0.00061022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007703057,"about_ca_topic_score_gemma":0.0009076163,"domain_scores_codex":[0.9990306,0.0004743001,0.00006177394,0.0001341513,0.0002502319,0.00004900114],"domain_scores_gemma":[0.9980519,0.001196759,0.0003555727,0.0001329269,0.0002171179,0.00004574593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009949462,0.0009793617,0.08179366,0.00446475,0.001141889,0.000447884,0.0002965933,0.0972418,0.1088221,0.01263209,0.03427052,0.6479598],"study_design_scores_gemma":[0.00143532,0.01221737,0.2810237,0.0007693608,0.001312458,0.002740703,0.0002697354,0.3673014,0.16333,0.02175199,0.1476133,0.0002346658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7572158,0.03423528,0.1403473,0.002535451,0.0003116837,0.001396261,0.01507455,0.00299264,0.04589091],"genre_scores_gemma":[0.9611594,0.004226607,0.0168541,0.0004160581,0.0000754783,0.0006252787,0.004174323,0.000265837,0.01220277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00629438,"threshold_uncertainty_score":0.02105677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543331961204916,"score_gpt":0.4128272898543908,"score_spread":0.3673939702423416,"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."}}