{"id":"W4413127612","doi":"10.18280/ts.420427","title":"Variance-Based Osteoporosis Detection and Classification Using Deep Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Artificial intelligence; Variance (accounting); Computer science; Machine learning; Pattern recognition (psychology)","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":[0.0007942216,0.0007058787,0.0007832701,0.001124713,0.0003349326,0.0006855495,0.0009042529,0.0006655707,0.0009360036],"category_scores_gemma":[0.001922717,0.0003917743,0.0007400679,0.0007769894,0.0003068975,0.0005702002,0.0007830223,0.0009072605,0.0002823015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953249,"about_ca_system_score_gemma":0.0009559655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007465203,"about_ca_topic_score_gemma":0.006486266,"domain_scores_codex":[0.9994276,0.00007848554,0.0000462401,0.0001278407,0.0002255703,0.00009433357],"domain_scores_gemma":[0.99942,0.0002280628,0.00007605615,0.00004278068,0.0002099673,0.00002324234],"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":[0.0002983295,0.000232045,0.00501938,0.00009444015,0.0001188028,0.0001063059,0.00006521135,0.2735546,0.01586823,0.002861139,0.002609899,0.6991717],"study_design_scores_gemma":[0.000005807147,0.00002780005,0.0005363513,0.000005584413,0.00001092899,0.00002514315,0.000004978222,0.9956533,0.002525668,0.0009573756,0.0002412404,0.000005840588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0694301,0.0008761374,0.9255578,0.0002950648,0.00007676186,0.00004630028,0.000152386,0.001853668,0.001711817],"genre_scores_gemma":[0.7702892,0.0005210108,0.2246425,0.0002053873,0.00008923101,0.0001151963,0.0005820142,0.0000903197,0.003465127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007465203,"threshold_uncertainty_score":0.01484352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520452257572907,"score_gpt":0.2365434859437265,"score_spread":0.2213389633679974,"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."}}