{"id":"W4406221583","doi":"10.18280/ts.410604","title":"DoubleSENeXt: Investigations on Enchondroma Detection","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enchondroma; Computer science; Medicine; Radiology; Chondrosarcoma","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":[0.0005593181,0.0005680946,0.0002886496,0.00238342,0.0004132706,0.0009801806,0.0005864297,0.001648354,0.004460623],"category_scores_gemma":[0.003141443,0.0002576608,0.0002610071,0.0005650702,0.0005565457,0.001156849,0.0007688778,0.0005669127,0.001024854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163353,"about_ca_system_score_gemma":0.0002970032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00068546,"about_ca_topic_score_gemma":0.0008945987,"domain_scores_codex":[0.9995748,0.00004160871,0.00005052677,0.0001264089,0.0001407635,0.00006593278],"domain_scores_gemma":[0.9986455,0.0006273218,0.0001515049,0.0001555087,0.0002987355,0.0001214416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00166377,0.0001251843,0.1370561,0.0005975344,0.0001009552,0.07954153,0.0009657415,0.0004842498,0.5995286,0.001385341,0.001109334,0.1774416],"study_design_scores_gemma":[0.00007469428,0.0009337707,0.1916115,0.0002924885,0.0003450901,0.4253461,0.00120305,0.008754397,0.348592,0.002620415,0.02013371,0.00009285229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492484,0.009118943,0.03002402,0.0004199288,0.0002587418,0.0001100858,0.0004380055,0.0003358649,0.01004597],"genre_scores_gemma":[0.9834743,0.001830764,0.01036184,0.0002065304,0.0001316314,0.00001933641,0.0001835648,0.00009367923,0.00369836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004460623,"threshold_uncertainty_score":0.01492232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698182674910477,"score_gpt":0.2823547893230102,"score_spread":0.2653729625739055,"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."}}