{"id":"W4242035049","doi":"10.1109/ainit54228.2021.00070","title":"Skin Lesions Detection via Convolutional Neural Networks","year":2021,"lang":"en","type":"article","venue":"2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Pattern recognition (psychology)","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":[0.0003305413,0.0008177501,0.0004392461,0.001700112,0.0001736759,0.0005220665,0.000556739,0.0005176321,0.001412552],"category_scores_gemma":[0.0008680628,0.0002808352,0.0005858955,0.0007375787,0.0001688639,0.0006197096,0.0003929508,0.0004240697,0.00071715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457358,"about_ca_system_score_gemma":0.0003304809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008669685,"about_ca_topic_score_gemma":0.009561851,"domain_scores_codex":[0.9997002,0.0000373317,0.00001631682,0.00008904949,0.0000983171,0.00005875901],"domain_scores_gemma":[0.9997289,0.00007716528,0.00004216288,0.000028144,0.0001059786,0.00001771488],"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":[0.0005342776,0.0002781264,0.01356049,0.0003291344,0.0002088426,0.0004908061,0.00005549944,0.09820434,0.05711623,0.001098018,0.01056086,0.8175634],"study_design_scores_gemma":[0.00001005617,0.00007773586,0.007460102,0.00003393073,0.00006190797,0.000282561,0.00002310888,0.9652259,0.02297688,0.0009297187,0.00289925,0.00001890241],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4402245,0.009130194,0.5288576,0.0006994391,0.0004484729,0.0002841596,0.00243343,0.006137497,0.01178467],"genre_scores_gemma":[0.905544,0.002449857,0.08057114,0.0002170856,0.0001289696,0.00006642587,0.002863944,0.000100165,0.008058365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008669685,"threshold_uncertainty_score":0.01723844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551109245338762,"score_gpt":0.260073379044156,"score_spread":0.2445622865907684,"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."}}