{"id":"W4283765531","doi":"10.3390/jpm12071092","title":"Prediction of Incomplete Response of Primary Tumour Based on Clinical and Radiomics Features in Inoperable Head and Neck Cancers after Definitive Treatment","year":2022,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu","keywords":"Medicine; Radiomics; Stage (stratigraphy); Head and neck; Radiation therapy; Radiology; Head and neck cancer; Radiation treatment planning; Retrospective cohort study; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002485492,0.0001475082,0.000923823,0.0004420158,0.00004810086,0.00000306074,0.00005620279,0.00005663567,0.00009287625],"category_scores_gemma":[0.0009092051,0.000104008,0.0001070701,0.0001948119,0.0004743118,0.00004003269,0.00002704772,0.0006853619,4.483485e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842202,"about_ca_system_score_gemma":0.000594151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401369,"about_ca_topic_score_gemma":0.000006367735,"domain_scores_codex":[0.9978189,0.0005028321,0.0008099402,0.0001779909,0.0005400378,0.0001502305],"domain_scores_gemma":[0.9983677,0.0007804308,0.0004380388,0.0001058336,0.0001069829,0.0002009769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1401902,0.00104948,0.8016431,0.0004607539,0.0004479196,0.00131071,0.007341786,0.0008635582,0.02635272,0.00008625777,0.001955071,0.01829851],"study_design_scores_gemma":[0.03548862,0.01897839,0.9312562,0.001544317,0.0003718123,0.0008940972,0.001252842,0.005683855,0.0001189241,0.00004646971,0.004272576,0.00009186839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877884,0.004259871,0.00006013205,0.007231661,0.000224815,0.0002184587,0.00003299289,0.000003680328,0.0001800122],"genre_scores_gemma":[0.9944071,0.001489219,0.001806036,0.001972426,0.0001912779,0.00001013478,0.0000109329,0.00001741414,0.00009541566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296132,"threshold_uncertainty_score":0.4241324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613203817168795,"score_gpt":0.3318843217355877,"score_spread":0.2957522835638997,"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."}}