{"id":"W1551456417","doi":"10.1111/j.1600-0838.2011.01408.x","title":"Accuracy of professional sports drafts in predicting career potential","year":2011,"lang":"en","type":"article","venue":"Scandinavian Journal of Medicine and Science in Sports","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"League; Amateur; Basketball; Football; Match play; Psychology; Franchise; Advertising; Applied psychology; Political science; Marketing; Physical therapy; Business; Medicine; Geography","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":[0.003369443,0.0001078324,0.0004723521,0.001039795,0.0000592844,0.000009589719,0.0002522536,0.00005418497,0.0005843586],"category_scores_gemma":[0.0002249424,0.00008661328,0.00004554062,0.0006927503,0.0005018177,0.0005468132,0.00004438407,0.0002530185,4.279675e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004694798,"about_ca_system_score_gemma":0.0001531505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003064171,"about_ca_topic_score_gemma":0.00002322754,"domain_scores_codex":[0.9980191,0.000005349731,0.0012251,0.0002136289,0.0002637335,0.0002730855],"domain_scores_gemma":[0.9984366,0.00001822495,0.00110801,0.0001447101,0.0001086122,0.000183867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004184466,0.00005865427,0.9911118,0.00002070694,0.000002131679,0.000242252,0.004152952,0.00003944155,0.00002290161,0.000924624,0.0000520176,0.00333069],"study_design_scores_gemma":[0.0007530483,0.0001571963,0.9906756,0.0007218163,0.000005455173,0.0001464409,0.001419713,0.0008952778,0.00003341669,0.004923069,0.0001747091,0.00009421672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936921,0.001288216,0.00003680727,0.0002590943,0.001075055,0.00007818329,0.000003048401,0.00000158965,0.003565905],"genre_scores_gemma":[0.9987892,0.0007660871,0.000149777,0.00007546226,0.0001275159,8.331808e-7,6.272468e-7,0.000005844683,0.00008467882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005097073,"threshold_uncertainty_score":0.6398317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04644976479861364,"score_gpt":0.2651868501944605,"score_spread":0.2187370853958469,"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."}}