{"id":"W4286586888","doi":"10.3390/curroncol29080410","title":"Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell Lung Cancer","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Radiomics; Stage (stratigraphy); Positron emission tomography; Radiology; Harmonization; Cohen's kappa; Nuclear medicine; Artificial intelligence; Medical physics; Machine learning; Oncology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003339514,0.0008060068,0.001361207,0.001598837,0.0003677615,0.001031564,0.001268278,0.0008187796,0.0009794515],"category_scores_gemma":[0.005425152,0.0004944498,0.001667133,0.001325787,0.0005684756,0.0009959314,0.001437111,0.0007244383,0.0004019844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003309339,"about_ca_system_score_gemma":0.0006833226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389109,"about_ca_topic_score_gemma":0.001019087,"domain_scores_codex":[0.9983763,0.0006538927,0.0001288171,0.0004807352,0.000243406,0.0001169127],"domain_scores_gemma":[0.998436,0.000667116,0.0002771001,0.0002864294,0.0002788436,0.00005442402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005101633,0.0002581691,0.01206504,0.0001901007,0.0005366677,0.000375082,0.000372429,0.5502762,0.01494744,0.004624925,0.00260185,0.4132419],"study_design_scores_gemma":[0.00001283365,0.0001034625,0.00192148,0.000007266192,0.0000397815,0.00009323407,0.00004607246,0.9926393,0.002047892,0.002042918,0.001029595,0.0000161748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03925712,0.0002326002,0.959156,0.00008587148,0.00002038001,0.00008768163,0.0001264752,0.0005679329,0.0004659589],"genre_scores_gemma":[0.6630715,0.000225505,0.3331274,0.0001560894,0.0001161231,0.0004282609,0.001215647,0.0002784464,0.001381087],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003339514,"threshold_uncertainty_score":0.01766127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477968124215445,"score_gpt":0.4811446969137781,"score_spread":0.3333478844922336,"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."}}