{"id":"W4378842634","doi":"10.23919/eucap57121.2023.10133712","title":"Microwave Spectroscopy of Melanoma Progression Model","year":2023,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Melanoma; Microwave; Characterization (materials science); Dielectric; Lesion; Spectroscopy; Pathology; Materials science; Medicine; Cancer research; Optoelectronics; Computer science; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008687757,0.00008491069,0.0001341137,0.0001416558,0.00001920032,0.00001256313,0.0000907182,0.0000295567,0.0000454319],"category_scores_gemma":[0.000004033758,0.00007451697,0.00006502745,0.0002848451,0.00001916205,0.00003197234,0.00002428205,0.0000593458,0.0001274128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000150578,"about_ca_system_score_gemma":0.00000579446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005684871,"about_ca_topic_score_gemma":0.000004057795,"domain_scores_codex":[0.9994823,0.000005614949,0.0001454987,0.0001028607,0.00008762894,0.0001760933],"domain_scores_gemma":[0.9997433,0.00001013476,0.00001431458,0.0001829878,0.00001415528,0.00003514778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001361596,0.000004928125,0.0004686785,0.00004400273,0.00002828626,0.000002427189,0.0001170257,0.03897754,0.944129,0.00004298731,0.01408892,0.002094825],"study_design_scores_gemma":[0.00004671108,0.000004960971,0.0001137499,0.0000151608,0.000008302158,0.000001248682,0.00001642099,0.5226976,0.4767499,0.0001931986,0.00009328937,0.00005955958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085411,0.0001192269,0.07042938,0.0001062393,0.00007611402,0.00004958626,0.000005711561,0.0008717023,0.01980088],"genre_scores_gemma":[0.9862033,0.0000386197,0.01275741,0.00001116631,0.00001833144,0.000004033712,0.00001104928,0.0000211998,0.0009349498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.48372,"threshold_uncertainty_score":0.3038714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122245149915805,"score_gpt":0.248458829254194,"score_spread":0.2372363777550359,"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."}}