{"id":"W4403923596","doi":"10.18280/mmep.111020","title":"Transfer Learning-Based Skin Tumor Identification Improvement","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Transfer of learning; Skin tumor; Computer science; Artificial intelligence; Medicine; Biology; Internal medicine; Cancer","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":[0.001213829,0.001117324,0.0007481716,0.001325216,0.0002558239,0.0007469307,0.00114254,0.0008838767,0.003323884],"category_scores_gemma":[0.003164037,0.0002153429,0.0008538569,0.0006817757,0.0003329329,0.001706474,0.001035085,0.0009623895,0.001849444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008304086,"about_ca_system_score_gemma":0.0007678896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806298,"about_ca_topic_score_gemma":0.002874772,"domain_scores_codex":[0.9995018,0.00007658798,0.00002685057,0.0001670822,0.0001439498,0.00008379846],"domain_scores_gemma":[0.9991536,0.0002382276,0.00009206441,0.0001463279,0.000324422,0.00004533443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003521111,0.0003620039,0.008900998,0.0002056217,0.0001371981,0.0002071341,0.00007516013,0.2581644,0.02455416,0.001924227,0.007880577,0.6972364],"study_design_scores_gemma":[0.00001046616,0.0001457864,0.002251752,0.00001540296,0.00003383046,0.0001368874,0.00003298543,0.9823209,0.01185129,0.001632354,0.001557419,0.00001080913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3617756,0.004070417,0.605153,0.0009737136,0.0004880578,0.0002983639,0.0008561381,0.01261396,0.01377059],"genre_scores_gemma":[0.9302486,0.0005168564,0.06147914,0.0002819507,0.00007870949,0.00005525249,0.001187469,0.0001767107,0.00597527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003806298,"threshold_uncertainty_score":0.01111948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362372008078045,"score_gpt":0.2137606602125481,"score_spread":0.2001369401317677,"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."}}