{"id":"W4410759694","doi":"10.5220/0013329700004558","title":"AI-Driven Lung Cancer Screening: A Comparative Analysis of Machine Learning Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Aurora College","funders":"","keywords":"Computer science; Cancer; Artificial intelligence; Machine learning; Medicine; Internal medicine","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":[0.00649751,0.0006640336,0.001080883,0.001746796,0.0003914511,0.001421614,0.001674669,0.00120697,0.002136963],"category_scores_gemma":[0.01952047,0.0003056781,0.0009614982,0.001027567,0.0004045758,0.001380883,0.000599691,0.0008726527,0.000350416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118395,"about_ca_system_score_gemma":0.001644467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538985,"about_ca_topic_score_gemma":0.009755732,"domain_scores_codex":[0.9987187,0.0007440364,0.0000680419,0.0001454147,0.0002466008,0.00007717963],"domain_scores_gemma":[0.96687,0.03017092,0.0005761153,0.0005920908,0.001538912,0.0002520568],"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":[0.0007744731,0.0002612223,0.009423216,0.0001980915,0.0002671514,0.00004753525,0.00006108981,0.9202647,0.0003820481,0.003852365,0.001215623,0.06325252],"study_design_scores_gemma":[0.00001746313,0.00008025512,0.001179813,0.000008547322,0.00003384441,0.00001580275,0.00001768614,0.9964955,0.0001738879,0.001753781,0.0002164228,0.000006969312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.735595,0.01086008,0.2297775,0.00436727,0.000352783,0.0002999655,0.0017719,0.001772631,0.01520273],"genre_scores_gemma":[0.9823935,0.0009339458,0.01421257,0.0001562091,0.00007837761,0.00005673989,0.0006589948,0.00007230711,0.001437273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538985,"threshold_uncertainty_score":0.03436255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654636502786698,"score_gpt":0.3713658597599032,"score_spread":0.3348194947320362,"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."}}