{"id":"W4393039120","doi":"10.2196/55900","title":"Peer Review of “COVID-19 National Football League (NFL) Injury Analysis: Follow-Up Study”","year":2024,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Sports injuries and prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"League; Football; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Aeronautics; Political science; Engineering; Virology; Internal medicine; Law; Physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02707673,0.0008003718,0.00308839,0.004655822,0.003830672,0.006176987,0.003560776,0.004712354,0.09177701],"category_scores_gemma":[0.2414453,0.0007170711,0.00272691,0.002088823,0.001891083,0.002657785,0.003171299,0.002191545,0.05594309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130969,"about_ca_system_score_gemma":0.01293711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003671337,"about_ca_topic_score_gemma":0.006553698,"domain_scores_codex":[0.9687415,0.007817667,0.005411758,0.002082239,0.01459469,0.001352033],"domain_scores_gemma":[0.5389096,0.02188092,0.009210511,0.01802483,0.401272,0.01070215],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002816548,0.00005898037,0.001855789,0.001116922,0.00007840359,0.0001565388,0.0001125101,0.0000149397,0.000293302,0.0001960846,0.9751356,0.02069926],"study_design_scores_gemma":[0.0008886381,0.0001772716,0.02198971,0.004222589,0.0002801322,0.0004232271,0.0009238492,0.0006202552,0.001961463,0.0009980141,0.9674152,0.00009959655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.031521,0.01034679,0.008789226,0.2839041,0.5097309,0.01924039,0.04851576,0.003642276,0.0843095],"genre_scores_gemma":[0.1582896,0.01500462,0.02617369,0.08299164,0.1559304,0.01730876,0.08343778,0.005002956,0.4558606],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9729233,"threshold_uncertainty_score":0.3070247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745558592939693,"score_gpt":0.4174896082634307,"score_spread":0.3700340223340338,"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."}}