{"id":"W4396708360","doi":"10.1007/s40279-024-02037-w","title":"Identifying and Minimizing Incentives for Competing Interests in Sports Medicine Publications","year":2024,"lang":"en","type":"article","venue":"Sports Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Incentive; Publication; Sports medicine; Stakeholder; Peer review; Public relations; Process (computing); Political science; Business; Psychology; Economics; Computer science; Law","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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07661546,0.0002678396,0.002318869,0.001426463,0.0001167353,0.0002655972,0.0005805008,0.00006422462,0.00497476],"category_scores_gemma":[0.02001829,0.0001294081,0.0002853161,0.001958842,0.0002342577,0.0003728258,0.0001114208,0.0001869584,0.00003064239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003656506,"about_ca_system_score_gemma":0.00005037978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003924421,"about_ca_topic_score_gemma":0.00009321697,"domain_scores_codex":[0.9882743,0.0006407282,0.00675488,0.001068696,0.002972295,0.0002891095],"domain_scores_gemma":[0.9924242,0.003837664,0.001714678,0.001310281,0.0005134477,0.0001997618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001406134,0.00005207076,0.3369702,0.0009273221,0.0001466595,0.0001327588,0.02115443,0.000007151024,0.0004450975,0.02599365,0.08001362,0.534143],"study_design_scores_gemma":[0.0007929073,0.0000684522,0.5471733,0.008478065,0.000492296,0.00009950242,0.03308063,0.0109202,0.00001314225,0.03588849,0.3626378,0.0003551392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8177671,0.04953506,0.04790675,0.04846606,0.004015811,0.002874493,0.00001323782,0.0000819742,0.02933954],"genre_scores_gemma":[0.9916444,0.0003311727,0.002128886,0.0002928124,0.0004050316,0.00005066883,0.00003159604,0.00001748704,0.005097982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5337878,"threshold_uncertainty_score":0.9959348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6391660175313695,"score_gpt":0.5476951735865481,"score_spread":0.09147084394482141,"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."}}