{"id":"W3027389553","doi":"10.18280/ts.370204","title":"Detection of Skin Cancer Image by Feature Selection Methods Using New Buzzard Optimization (BUZO) Algorithm","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buzzard; Feature selection; Computer science; Feature (linguistics); Algorithm; Selection (genetic algorithm); Pattern recognition (psychology); Artificial intelligence; Image (mathematics); Geography","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":[0.0007755884,0.000862413,0.001115608,0.001700942,0.0005128813,0.000862764,0.0008250249,0.0008308862,0.001866505],"category_scores_gemma":[0.001322728,0.0004238494,0.0009396766,0.00109003,0.0003846839,0.0007165277,0.000459699,0.0005288198,0.0004365622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667576,"about_ca_system_score_gemma":0.0006438611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005882816,"about_ca_topic_score_gemma":0.005077245,"domain_scores_codex":[0.9994112,0.00009391427,0.000044457,0.0001376953,0.0002482063,0.00006457903],"domain_scores_gemma":[0.9996744,0.00009656417,0.00004300718,0.00001826894,0.0001524347,0.00001533875],"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":[0.0007281902,0.0001943409,0.004558706,0.0002509182,0.0001941986,0.0001853234,0.0001718797,0.09368778,0.09021974,0.003535884,0.005393955,0.8008791],"study_design_scores_gemma":[0.00005189062,0.0001442466,0.004664556,0.00001734328,0.00005358918,0.0001958464,0.00003549116,0.9728899,0.01824878,0.0008539026,0.002813164,0.0000312537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03694643,0.0005829274,0.9601337,0.000161879,0.00005101263,0.0001184108,0.0000648714,0.0009469004,0.0009938693],"genre_scores_gemma":[0.2543386,0.0005150715,0.7398285,0.0001291411,0.00004647006,0.0003572801,0.0004236885,0.00018284,0.004178295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005882816,"threshold_uncertainty_score":0.01169717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099372810783359,"score_gpt":0.3262830902544621,"score_spread":0.2952893621466285,"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."}}