{"id":"W3207443042","doi":"10.2139/ssrn.3532307","title":"Coming Back to Edmonton: Competing with Former Employers and Colleagues","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510142,0.0001285434,0.000275082,0.0001575507,0.0001568742,0.0001170946,0.0001402027,0.00004016607,0.00005093923],"category_scores_gemma":[0.00002397906,0.0001159868,0.00004045485,0.0001747994,0.00002707713,0.000216164,0.00003193967,0.0004875477,0.0001467029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705782,"about_ca_system_score_gemma":0.0002570311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002312812,"about_ca_topic_score_gemma":0.001785853,"domain_scores_codex":[0.998305,0.000005409673,0.0003467907,0.0002046905,0.00005646501,0.001081643],"domain_scores_gemma":[0.9994,0.00001244205,0.0002166238,0.0001203117,0.00005701116,0.0001936647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002452855,0.00007448337,0.6267362,0.00001642736,0.0003272988,0.00001067295,0.002404053,0.002622891,0.000005432134,0.3589757,0.00323336,0.005348263],"study_design_scores_gemma":[0.007188377,0.004146422,0.0377147,0.0002076466,0.00006942505,0.001591522,0.01400664,0.01915118,0.00004081968,0.1402678,0.7736786,0.001936843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681046,0.005416835,0.009497025,0.002066034,0.0002003108,0.0001429027,0.000009983769,0.0000142804,0.01454801],"genre_scores_gemma":[0.9939297,0.001378276,0.0005652193,0.0002798548,0.0002302364,0.000002230555,0.000002516451,0.00002333087,0.003588672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7704452,"threshold_uncertainty_score":0.4729804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661179855438335,"score_gpt":0.2165514296678828,"score_spread":0.1899396311134994,"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."}}