{"id":"W3160989106","doi":"10.3390/cancers13102382","title":"Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Lung cancer; Medicine; Health records; Intensive care medicine; Cancer treatment; Medical physics; Artificial intelligence; Cancer; Computer science; Health care; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546186,0.0003557413,0.001347277,0.0001095205,0.00009717674,0.00002284809,0.0002882284,0.0001357857,0.00006787803],"category_scores_gemma":[0.00005752018,0.0002348436,0.000471839,0.0005513299,0.0001453048,0.00001469955,0.00004075599,0.0004065306,0.00001800106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003693052,"about_ca_system_score_gemma":0.00489379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005485,"about_ca_topic_score_gemma":0.00005673135,"domain_scores_codex":[0.998167,0.00005159869,0.0006599874,0.0005494403,0.000226748,0.0003452091],"domain_scores_gemma":[0.9983758,0.0002048232,0.0003249416,0.0007022333,0.0001277925,0.0002644218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001148485,0.00003316095,0.000002247603,0.003508376,0.0001654854,0.00001305253,0.0003161833,0.001692579,0.00003053053,0.00007506002,0.0002771693,0.9938747],"study_design_scores_gemma":[0.0001111231,0.0002896005,5.481554e-7,0.004721804,0.00124163,0.000009565998,0.0002435383,0.001992923,0.0002251974,0.00001059149,0.9909355,0.0002179719],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003671717,0.9590757,0.03614783,0.000232544,0.0005563165,0.00280735,0.00004488619,0.00002409499,0.001074493],"genre_scores_gemma":[0.000107219,0.9937069,0.002571169,0.0002870549,0.0005893538,0.001796136,0.00008160163,0.00006589458,0.0007946782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936567,"threshold_uncertainty_score":0.9657203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712027307984925,"score_gpt":0.3593438514879258,"score_spread":0.3322235784080765,"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."}}