{"id":"W4402307188","doi":"10.18280/ts.410447","title":"Optimizing Lung Cancer Classification with Extreme Learning Machine and Ant Lion Optimization for Enhanced Early Detection","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"ANT; Artificial intelligence; Extreme learning machine; Computer science; Machine learning; Lung cancer; Pattern recognition (psychology); Medicine; Pathology; Artificial neural network","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":[0.0003227272,0.000144419,0.0001120564,0.0001530254,0.0002645961,0.0003796858,0.0001202626,0.00004504825,0.0000356675],"category_scores_gemma":[0.00001003869,0.0001208448,0.00003299433,0.0002722501,0.00001832719,0.0005008794,0.00002955896,0.0001448507,0.000001246594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007607381,"about_ca_system_score_gemma":0.00003538431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006881157,"about_ca_topic_score_gemma":0.00002060299,"domain_scores_codex":[0.9989328,0.00006268816,0.0001838196,0.0004175809,0.0001980375,0.0002050503],"domain_scores_gemma":[0.999626,0.00007474639,0.00007888543,0.0000966669,0.00006474566,0.00005899011],"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":[0.00009382773,0.0000365632,0.000469014,0.0001815665,0.0000638628,0.000002824404,0.003013737,0.5760269,0.04233085,0.001254491,0.0000237916,0.3765026],"study_design_scores_gemma":[0.0004622426,0.0003026291,0.001401688,0.0001431196,0.00003356762,0.000004843139,0.00002443828,0.9931836,0.003777751,0.00002006268,0.0004821024,0.0001639258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07886153,0.0006024252,0.9192002,0.0004881959,0.0001376944,0.0003003717,0.00000169329,0.0003094144,0.00009852029],"genre_scores_gemma":[0.9569356,0.00007310091,0.04249205,0.00003441625,0.000134706,0.0001402773,0.00001314251,0.00001934407,0.0001572895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8780741,"threshold_uncertainty_score":0.4927908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658058119530142,"score_gpt":0.2532403063502602,"score_spread":0.2366597251549588,"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."}}