{"id":"W7115825032","doi":"","title":"AN INVESTIGATION OF AUTOMATED MODELS FOR TUMOR SEGMENTATION","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences","keywords":"Lung cancer; Segmentation; Focus (optics); Lesion; Pattern recognition (psychology); Melanoma; Image segmentation; Artificial neural network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003117715,0.00139282,0.001197496,0.001620972,0.0005712506,0.002656038,0.00261169,0.002193946,0.00275797],"category_scores_gemma":[0.01095434,0.0008421816,0.00162075,0.001126166,0.0008891387,0.002537613,0.001122311,0.001394511,0.001268542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560504,"about_ca_system_score_gemma":0.001994085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217389,"about_ca_topic_score_gemma":0.01103913,"domain_scores_codex":[0.998605,0.0004026911,0.00005912972,0.000488653,0.0003335171,0.0001109723],"domain_scores_gemma":[0.9952939,0.002807348,0.0003750068,0.000669857,0.0007378208,0.0001159301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001433698,0.00007407407,0.002223937,0.0002010165,0.0001230092,0.00006498332,0.00009101148,0.8550196,0.003466627,0.009431913,0.002680413,0.1264801],"study_design_scores_gemma":[0.000003684182,0.00002182031,0.0002012558,0.00001367197,0.000007575791,0.00003158702,0.000009572962,0.9953401,0.0008965431,0.002685003,0.000783233,0.000005850205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05743483,0.002490145,0.9275883,0.001165806,0.0002383827,0.00020877,0.0008420657,0.00468442,0.005347243],"genre_scores_gemma":[0.6649271,0.001519027,0.3224077,0.000511205,0.0002127925,0.0002307832,0.002715889,0.0009849159,0.006490605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01217389,"threshold_uncertainty_score":0.02420604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334034696756706,"score_gpt":0.2653756848306628,"score_spread":0.2520353378630957,"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."}}