{"id":"W4390915338","doi":"10.1158/1538-7445.panca2023-b073","title":"Abstract B073: Understanding treatment response in pancreatic cancer: NetraAI provides genetic differentiation in FOLFIRINOX and gemcitabine response","year":2024,"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":"Queen's University","funders":"","keywords":"FOLFIRINOX; Gemcitabine; Pancreatic cancer; Oncology; Internal medicine; Chemotherapy; Cancer; Biology; Medicine; Cancer research; Bioinformatics; Irinotecan","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":[0.001849404,0.0004703265,0.0006238436,0.0006818089,0.0002382015,0.0008668622,0.0006076081,0.0006365736,0.003570406],"category_scores_gemma":[0.004263476,0.0001403872,0.0009190754,0.0005260492,0.0002279463,0.0003352737,0.0004960674,0.000862621,0.0006862277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005547965,"about_ca_system_score_gemma":0.0006128312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921412,"about_ca_topic_score_gemma":0.003983068,"domain_scores_codex":[0.9993068,0.0003545795,0.00003600637,0.0001792404,0.0000817494,0.00004171622],"domain_scores_gemma":[0.9982399,0.001151215,0.0002420374,0.0001328226,0.0001180196,0.000115989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01107472,0.00154203,0.609673,0.001364713,0.00182898,0.0004431543,0.0002008952,0.09596365,0.01849217,0.002662598,0.02964947,0.2271046],"study_design_scores_gemma":[0.001020191,0.00294061,0.2936295,0.0002247843,0.001205485,0.0005761341,0.0002762238,0.6585677,0.01043436,0.01207221,0.0189582,0.00009459861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204127,0.004092371,0.02212979,0.004395443,0.0001436448,0.00029087,0.04254505,0.000713896,0.005276296],"genre_scores_gemma":[0.9600444,0.0003872216,0.01030143,0.0005159235,0.00008843009,0.0001609972,0.02726274,0.00004477122,0.001194012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003570406,"threshold_uncertainty_score":0.01194417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0855619075787892,"score_gpt":0.4223365486978676,"score_spread":0.3367746411190784,"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."}}