{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187873,0.0003363747,0.0001358113,0.0002006295,0.00008159476,0.0001263921,0.000174158,0.0002978593,0.001005638],"category_scores_gemma":[0.0001609227,0.00008468166,0.0002197446,0.0001437255,0.0001343084,0.0001625241,0.0001337268,0.0002850009,0.0001680979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340474,"about_ca_system_score_gemma":0.0001360694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007580302,"about_ca_topic_score_gemma":0.0005138842,"domain_scores_codex":[0.9999543,0.000008338066,0.000001509243,0.00001541332,0.00001217972,0.000008176692],"domain_scores_gemma":[0.9999229,0.00002211458,0.00001770663,0.000009662286,0.00001597352,0.00001159262],"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":[0.0001568864,0.00008743073,0.001089233,0.00004504086,0.000008574591,0.0001717283,0.00003453768,0.02429139,0.9704476,0.0008944833,0.0001964541,0.002576732],"study_design_scores_gemma":[0.00004777493,0.001070466,0.007056517,0.00001700063,0.00005039271,0.0005603294,0.00006278118,0.4135602,0.5719749,0.001371062,0.004192089,0.00003645414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9222432,0.0004021344,0.07393845,0.0001291713,0.00003213535,0.00006091958,0.0004285232,0.0002521309,0.002513354],"genre_scores_gemma":[0.9771603,0.000377692,0.01913543,0.00002925847,0.000004410364,0.00005718018,0.000338862,0.00002256297,0.002874138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001005638,"threshold_uncertainty_score":0.003364205,"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."}}