{"id":"W4417441121","doi":"10.2196/79748","title":"Large Separable Kernel Attention–Driven Multidimensional Feature Cross-Level Fusion Classification Network of Knee Cartilage Injury: Algorithm Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Pattern recognition (psychology); Kernel (algebra); Knee cartilage; Support vector machine; Separable space; Development (topology); Fusion","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":[0.002190301,0.001071646,0.001065571,0.0008610877,0.0006570359,0.0008458034,0.001836153,0.001641197,0.002146027],"category_scores_gemma":[0.004135197,0.0003984529,0.0009376751,0.0004913756,0.000594881,0.0009103821,0.001551702,0.001728408,0.0004795319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078586,"about_ca_system_score_gemma":0.001565598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01731693,"about_ca_topic_score_gemma":0.01028615,"domain_scores_codex":[0.9995003,0.0001243544,0.0000259269,0.0001471147,0.000105206,0.0000970761],"domain_scores_gemma":[0.9983511,0.0006739984,0.0001406375,0.000113013,0.0006306752,0.0000905363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000278142,0.0001636256,0.004264586,0.00007255034,0.0001098322,0.0001283,0.00008710409,0.8021713,0.004113995,0.002049439,0.001740363,0.1848207],"study_design_scores_gemma":[0.000003342913,0.00001621057,0.0001523122,0.000001954087,0.000004325094,0.000006357664,0.00000410954,0.999052,0.0004200343,0.000292194,0.00004520372,0.000002035608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1689366,0.0009093752,0.8240463,0.0005974548,0.00008641399,0.0002474392,0.0002068473,0.00258492,0.002384617],"genre_scores_gemma":[0.8724761,0.0001752347,0.1237247,0.000187382,0.00003421262,0.0002920808,0.0005783909,0.00007271492,0.002459125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01731693,"threshold_uncertainty_score":0.03443229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716509564713041,"score_gpt":0.3095129570128041,"score_spread":0.2923478613656736,"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."}}