{"id":"W4386696989","doi":"10.1016/j.csm.2023.08.010","title":"Precision Anterior Cruciate Ligament Reconstruction","year":2023,"lang":"en","type":"article","venue":"Clinics in Sports Medicine","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; London Health Sciences Centre; Fowler Kennedy Sport Medicine Clinic","funders":"","keywords":"Medicine; Anterior cruciate ligament reconstruction; Orthopedic surgery; Anterior cruciate ligament; Sports medicine; Return to sport; Anterior Cruciate Ligament Injuries; Concomitant; Orthopedic Procedures; Physical medicine and rehabilitation; Surgery; Physical therapy; Rehabilitation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000343491,0.0005661009,0.0003691796,0.0009335174,0.0006622886,0.0008900075,0.000272008,0.0005090017,0.01196208],"category_scores_gemma":[0.00101134,0.0002148644,0.0004573077,0.0006013406,0.0004771973,0.000610695,0.0006962459,0.0006009435,0.001531626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309018,"about_ca_system_score_gemma":0.0005531972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003885201,"about_ca_topic_score_gemma":0.0009789211,"domain_scores_codex":[0.9996485,0.00003078045,0.00003688016,0.00006028699,0.000133831,0.00008983052],"domain_scores_gemma":[0.9995911,0.00010486,0.0001201223,0.00006348541,0.00007628675,0.00004424445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001164569,0.0006166037,0.03389708,0.001111108,0.0002802966,0.006395268,0.0005726837,0.001376706,0.04599659,0.005774198,0.005815555,0.8969994],"study_design_scores_gemma":[0.0009940782,0.01332826,0.3741296,0.002980649,0.0008413312,0.3783832,0.00206099,0.003601077,0.05263153,0.008765083,0.1620597,0.0002245288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8136892,0.05411918,0.04326149,0.0032864,0.002154682,0.0001458186,0.0002937742,0.0007935025,0.08225598],"genre_scores_gemma":[0.9721361,0.006614247,0.00625529,0.0004532138,0.0004190767,0.00003022579,0.0001224987,0.00003126203,0.01393813],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01196208,"threshold_uncertainty_score":0.04001719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024925369014646,"score_gpt":0.3600590329793057,"score_spread":0.3351336639646597,"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."}}