{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005588483,0.0004772503,0.0007839525,0.001805999,0.01915444,0.01929096,0.002597593,0.009159672,0.09362426],"category_scores_gemma":[0.0191976,0.0004107109,0.0006691827,0.002068926,0.003248181,0.007247546,0.008699981,0.01413272,0.01460244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00709987,"about_ca_system_score_gemma":0.01281291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06470676,"about_ca_topic_score_gemma":0.2462233,"domain_scores_codex":[0.9935887,0.001373912,0.0001117686,0.0004083828,0.001446841,0.00307043],"domain_scores_gemma":[0.9472018,0.003123578,0.001390909,0.0005544143,0.003503293,0.04422595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001411745,0.0002802612,0.01893988,0.00006634888,0.00004710915,0.001423791,0.01170535,0.00005714299,0.0001349389,0.006419729,0.8917481,0.0690361],"study_design_scores_gemma":[0.00005009529,0.0001142907,0.02617653,0.0008873651,0.00004163626,0.0011444,0.2425093,0.0002125642,0.0001138664,0.00596648,0.7226765,0.0001068758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07058993,0.008279807,0.0002955184,0.8201346,0.01996218,0.00002000233,0.0003006756,0.00007847159,0.08033875],"genre_scores_gemma":[0.2853901,0.006507698,0.0007518214,0.298095,0.007886008,0.00004506379,0.0005370292,0.0003498447,0.4004374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09362426,"threshold_uncertainty_score":0.3132043,"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."}}