{"id":"W4413012302","doi":"10.2196/66727","title":"Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Deep learning; Recall; Machine learning; Femoral head; Artificial intelligence; Computer science; Radiology; Surgery","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":[0.0008261029,0.001118006,0.000761774,0.0007127856,0.0003054479,0.0008605004,0.001285473,0.001233816,0.001820152],"category_scores_gemma":[0.001580487,0.0003919917,0.000883846,0.0004056187,0.0004060397,0.000576634,0.0007088522,0.001241656,0.0003485624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009758775,"about_ca_system_score_gemma":0.001255738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219248,"about_ca_topic_score_gemma":0.01860344,"domain_scores_codex":[0.9998302,0.00003807666,0.00001043867,0.00005581059,0.00003005655,0.00003528447],"domain_scores_gemma":[0.9995264,0.0002549385,0.00005579332,0.00001982531,0.000114029,0.0000291234],"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":[0.0002229646,0.0001368828,0.00523869,0.0000679771,0.000110434,0.0001667169,0.0000307972,0.9402067,0.001249304,0.0008904329,0.002282249,0.0493969],"study_design_scores_gemma":[0.000003485561,0.00001317044,0.0001715182,0.000004667481,0.000007763744,0.000009202299,0.000002455558,0.9992372,0.000135478,0.00033143,0.00008147558,0.000002232468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.430436,0.006680322,0.5475138,0.003052261,0.0004419891,0.0001507754,0.001914961,0.003242122,0.006567675],"genre_scores_gemma":[0.9720177,0.0005716843,0.02311055,0.0003607435,0.00008737489,0.0001163934,0.0009932716,0.00005607715,0.00268625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0219248,"threshold_uncertainty_score":0.04359436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625089859013594,"score_gpt":0.3374875700036398,"score_spread":0.3012366714135039,"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."}}