{"id":"W4316362587","doi":"10.18280/ts.390622","title":"An Improved Transfer Learning Approach for Classification of Types of Cancer","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skin cancer; Lesion; Basal cell carcinoma; Actinic keratosis; Skin lesion; Basal cell; Dermatofibroma; Medicine; Dermatology; Artificial intelligence; Computer science; Cancer; Melanoma; Pathology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965464,0.00005998295,0.0001448411,0.00008107572,0.00006392904,0.000002854452,0.00005016659,0.00001641633,0.0008430632],"category_scores_gemma":[0.000002927256,0.00005707382,0.00006702634,0.00009157078,0.00001989317,0.00001979243,0.000007548904,0.00007149998,1.717005e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004934153,"about_ca_system_score_gemma":0.00003338657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004914589,"about_ca_topic_score_gemma":0.000005836412,"domain_scores_codex":[0.9993645,0.00003451928,0.0002097219,0.0001362529,0.0001681604,0.00008684678],"domain_scores_gemma":[0.9997652,0.00001281992,0.000056211,0.00007962346,0.00005340865,0.00003280412],"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":[0.001221772,0.0006620222,0.001231197,0.0003011854,0.0001592833,7.027471e-7,0.0009027414,0.01002862,0.945157,0.0008374102,0.0001087449,0.03938933],"study_design_scores_gemma":[0.007519976,0.00901356,0.02464206,0.00003124779,0.0008516125,0.00002074757,0.006650698,0.8256756,0.08817785,0.00004738102,0.03704957,0.0003196957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104176,0.00009102898,0.08688606,0.0001757912,0.00007796317,0.001081184,0.00003488811,0.00004041803,0.001195092],"genre_scores_gemma":[0.9983122,0.000007039144,0.0007339258,0.00005562459,0.00005103345,0.0002896104,0.00007311533,0.00001205879,0.0004653644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8569791,"threshold_uncertainty_score":0.923095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712628702215231,"score_gpt":0.2762488187030205,"score_spread":0.2491225316808682,"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."}}