{"id":"W4402664118","doi":"10.60087/jklst.v3.n4.p169","title":"Skin disease classification using two path deep transfer learning models","year":2024,"lang":"en","type":"article","venue":"Journal of Knowledge Learning and Science Technology ISSN 2959-6386 (online)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transfer of learning; Path (computing); Artificial intelligence; Computer science; Medicine; Computer network","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004573586,0.0009108646,0.000542202,0.000660829,0.0002711288,0.0007391103,0.001180838,0.001146834,0.002339081],"category_scores_gemma":[0.0008110699,0.0002757159,0.001089454,0.0004095999,0.0003037902,0.0007873016,0.0006928807,0.001427507,0.0007679416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009323446,"about_ca_system_score_gemma":0.0007434156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008999562,"about_ca_topic_score_gemma":0.007153899,"domain_scores_codex":[0.9998057,0.00003053151,0.000008677646,0.00006099478,0.00004598559,0.00004808056],"domain_scores_gemma":[0.9997596,0.00007178658,0.00002395709,0.00002204548,0.0001007655,0.00002194863],"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":[0.0005282923,0.0004800601,0.007215376,0.00009989746,0.0001678151,0.0003206795,0.00008790198,0.7103655,0.006646506,0.003183644,0.007437362,0.263467],"study_design_scores_gemma":[0.000004969478,0.0000384786,0.0003533674,0.000005663352,0.000008106824,0.00002094253,0.000007193998,0.9976727,0.0007447741,0.0008874038,0.0002519838,0.000004342185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.467785,0.00372562,0.5067156,0.002404768,0.0004500072,0.0002837418,0.001557225,0.004636094,0.01244189],"genre_scores_gemma":[0.9413367,0.0004481812,0.04472358,0.0004617164,0.00007200393,0.0001673412,0.001546208,0.00006156174,0.01118268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008999562,"threshold_uncertainty_score":0.01789433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899044849852226,"score_gpt":0.3283915211681795,"score_spread":0.2894010726696573,"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."}}