{"id":"W4323359150","doi":"10.7759/cureus.35855","title":"Use of Fantasy Points in Evaluating Professional Athlete Performance After Anterior Cruciate Ligament (ACL) Reconstruction","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"League; Medicine; Basketball; Athletes; Anterior cruciate ligament; Football; Fantasy; Physical therapy; Demography; Surgery; History; Literature","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":[0.002644191,0.000536553,0.0002781065,0.0019593,0.0003717382,0.001099883,0.0006619699,0.0006213179,0.00154973],"category_scores_gemma":[0.008888956,0.0001881984,0.0006042358,0.000822754,0.0003993031,0.0007359315,0.0009403313,0.0005872121,0.0003223123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353267,"about_ca_system_score_gemma":0.0004092613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288305,"about_ca_topic_score_gemma":0.006984072,"domain_scores_codex":[0.9987281,0.0004567465,0.000212774,0.0001396317,0.0003170962,0.0001457031],"domain_scores_gemma":[0.9950756,0.0009429046,0.002555888,0.0001643034,0.0007340905,0.0005273076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232333,0.0001523752,0.989701,0.00005374607,0.00005875566,0.00008796774,0.0004103393,0.00008079151,0.0002749526,0.00004531544,0.00011766,0.008893918],"study_design_scores_gemma":[0.000007379067,0.0004179644,0.997686,0.00003343455,0.00002635836,0.0003007729,0.0007378399,0.0003141213,0.0001071851,0.00003711686,0.000320884,0.00001093292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967729,0.0003801984,0.0003560184,0.00007089537,0.00002229767,0.00007576549,0.0003573988,0.000004721296,0.001959677],"genre_scores_gemma":[0.998031,0.000241234,0.0008251937,0.00003523139,0.00001765563,0.00005063734,0.0004521701,0.000001987725,0.0003450104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003288305,"threshold_uncertainty_score":0.01398402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478869702838623,"score_gpt":0.3437240685498097,"score_spread":0.2958370982659475,"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."}}