{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008982011,0.000202733,0.0003537223,0.002085048,0.0004560576,0.0001201673,0.0002166989,0.0001313022,0.00003546334],"category_scores_gemma":[0.0004016483,0.0001655227,0.0001352413,0.001824394,0.0006171381,0.0003193498,0.00008448332,0.00140619,0.00001216483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246829,"about_ca_system_score_gemma":0.0004122319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004066286,"about_ca_topic_score_gemma":0.000008879641,"domain_scores_codex":[0.9982345,0.00007737718,0.0005088485,0.0004142108,0.0003899074,0.0003751648],"domain_scores_gemma":[0.9989691,0.0000702183,0.0001242071,0.0001667367,0.0003739649,0.0002957181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003525182,0.0008084253,0.01287929,0.0005003673,0.0002052182,0.001394933,0.003694119,0.01564039,0.1846958,0.006490828,0.00008499639,0.7732531],"study_design_scores_gemma":[0.0009907463,0.0007616288,0.001864834,0.0008715774,0.0003750682,0.002744742,0.005904547,0.9565179,0.0009138798,0.001178544,0.02759177,0.0002847559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502407,0.005827201,0.04000146,0.002218116,0.0005240541,0.0001618054,0.000001263243,0.0002600113,0.0007653499],"genre_scores_gemma":[0.9950503,0.0007237481,0.002408536,0.0000373383,0.0002554071,0.000002420281,0.000002669216,0.00002791123,0.001491649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9408775,"threshold_uncertainty_score":0.6749821,"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."}}