{"id":"W2885933510","doi":"10.1016/j.knee.2018.07.013","title":"The effect of ACL deficiency on the end-to-end distances of the tibiofemoral ACL attachment during in vivo dynamic activity","year":2018,"lang":"en","type":"article","venue":"The Knee","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"National Institutes of Health","keywords":"In vivo; ACL injury; Anterior cruciate ligament; End-to-end principle; Medicine; Orthodontics; Anatomy; Biology; Computer science; Genetics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008095523,0.0001280371,0.0002403789,0.00004565827,0.0002818348,0.00001198435,0.0003006294,0.00004818271,0.0000587032],"category_scores_gemma":[0.00009891265,0.00004342482,0.000127837,0.0002557131,0.0008236262,0.00002887372,0.0001191917,0.0002256791,0.00000489321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007963259,"about_ca_system_score_gemma":0.00002998664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251117,"about_ca_topic_score_gemma":0.0002001494,"domain_scores_codex":[0.9989394,0.0001881311,0.0002459297,0.0001444244,0.0002807915,0.0002013129],"domain_scores_gemma":[0.9987749,0.0003783478,0.0001810564,0.000607745,0.00003390753,0.00002404138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005462584,0.0003799691,0.1268135,0.0006090128,0.0002617161,0.000005010894,0.005229879,0.00002297476,0.6821947,0.007561767,0.001257096,0.1702018],"study_design_scores_gemma":[0.0004482754,0.001200795,0.1662647,0.000293954,0.00005146608,0.00001794465,0.0004496261,0.00008934708,0.829914,0.0003342261,0.0008533114,0.00008231634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922432,0.00009365491,0.00001831567,0.002513004,0.0003046611,0.0007408474,0.00001537085,0.00002581061,0.004045101],"genre_scores_gemma":[0.9992068,0.00002918805,0.00001614998,0.00004550134,0.00006108086,0.00002767719,1.972393e-7,0.00001027045,0.0006030679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1701195,"threshold_uncertainty_score":0.3034685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006070718101531198,"score_gpt":0.2804356599680828,"score_spread":0.2743649418665516,"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."}}