{"id":"W4388023124","doi":"10.18280/ts.400548","title":"Experimental Investigations to Detection of Liver Cancer Using ResUNet","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Cancer detection; Computer science; Artificial intelligence; Medicine; Internal medicine","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":[0.001069606,0.0004131904,0.00037717,0.0006727419,0.0003304336,0.0004432912,0.0005171142,0.00072437,0.002955311],"category_scores_gemma":[0.003171273,0.0002323111,0.0003094259,0.0003979757,0.0005643059,0.0005653501,0.0004141242,0.0005350966,0.000621567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037381,"about_ca_system_score_gemma":0.0002410801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924465,"about_ca_topic_score_gemma":0.002119933,"domain_scores_codex":[0.9995353,0.00008911984,0.00003849621,0.0001231456,0.0001375725,0.00007635388],"domain_scores_gemma":[0.9981074,0.0008830011,0.0001991532,0.0002996277,0.0004184872,0.00009228122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002475414,0.0009151489,0.00720143,0.0007276531,0.0001072567,0.0008766844,0.0003057692,0.04914252,0.8534094,0.002905557,0.003237945,0.07869521],"study_design_scores_gemma":[0.00009113338,0.00291905,0.01237481,0.00005374599,0.00006741849,0.0007687756,0.0002428712,0.2681472,0.709477,0.001400877,0.004397676,0.00005938782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441853,0.0007078312,0.04908005,0.0004602548,0.0001567171,0.0001096087,0.0007441454,0.0007346735,0.003821538],"genre_scores_gemma":[0.9489982,0.0003903394,0.0455646,0.0001780857,0.00002722698,0.0001124679,0.0009420777,0.0001465654,0.003640351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002955311,"threshold_uncertainty_score":0.009886503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975683163637803,"score_gpt":0.3037616246967139,"score_spread":0.2740047930603359,"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."}}