{"id":"W4396557899","doi":"10.18280/ts.410233","title":"Efficient Approach for Kidney Stone Treatment Using Convolutional Neural Network","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Najran University","keywords":"Convolutional neural network; Computer science; Kidney stones; Artificial intelligence; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002182529,0.0006566807,0.0006656868,0.0006715485,0.0003918227,0.0006558578,0.001165793,0.0009002978,0.003959612],"category_scores_gemma":[0.0005051859,0.0003765,0.0008437608,0.0005557977,0.0001860304,0.0006217273,0.0007226969,0.0007347661,0.001134126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008953861,"about_ca_system_score_gemma":0.00150043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018416,"about_ca_topic_score_gemma":0.0235912,"domain_scores_codex":[0.9998162,0.00001278269,0.00001159249,0.00004075811,0.00007204997,0.00004657809],"domain_scores_gemma":[0.9999151,0.00001710434,0.00001153967,0.0000114043,0.00003741654,0.000007373736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002269587,0.0001578991,0.003138191,0.0002884242,0.0001804067,0.0004492007,0.00004470553,0.3637026,0.02683581,0.004337238,0.01287985,0.5877587],"study_design_scores_gemma":[0.000008426937,0.00002592518,0.0004868986,0.000009895308,0.00002579654,0.00009614998,0.000007497446,0.9900186,0.005659883,0.001220781,0.002431682,0.000008468637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03732574,0.002375521,0.9459661,0.0006268206,0.0001843373,0.0001769591,0.0004917269,0.005624142,0.00722858],"genre_scores_gemma":[0.6308901,0.001865944,0.3495424,0.0004584253,0.0001216629,0.0002330146,0.001805972,0.0002755278,0.01480688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.018416,"threshold_uncertainty_score":0.03661758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07831458953536875,"score_gpt":0.2924344071504189,"score_spread":0.2141198176150501,"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."}}