{"id":"W4320736681","doi":"10.2139/ssrn.4354894","title":"Fairer Shootouts in Soccer: The m - n Rule","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Rule of law; Political science; Law; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006707008,0.0005761511,0.00278497,0.000985189,0.002508898,0.003756572,0.00259216,0.004576751,0.01190081],"category_scores_gemma":[0.03866889,0.0005266482,0.001212002,0.000632403,0.003771112,0.003680425,0.002243858,0.004963512,0.002053796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193431,"about_ca_system_score_gemma":0.00175881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006953163,"about_ca_topic_score_gemma":0.008679911,"domain_scores_codex":[0.996624,0.0009789476,0.0001754883,0.001143045,0.0005109343,0.0005675422],"domain_scores_gemma":[0.9804431,0.01301174,0.001788402,0.002440229,0.0008738742,0.001442776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001431449,0.0004022989,0.01951817,0.0002139323,0.0002030642,0.001623156,0.0003979545,0.03800118,0.001252386,0.7966101,0.05060891,0.08973752],"study_design_scores_gemma":[0.0002434817,0.0001359752,0.006622835,0.0001047066,0.0000765467,0.0006200594,0.0002320006,0.1287527,0.000560773,0.8537222,0.008868482,0.0000602725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4002807,0.004268862,0.2993933,0.02080771,0.00250694,0.0001904781,0.001155509,0.0007281609,0.2706684],"genre_scores_gemma":[0.9729677,0.0006487588,0.007237124,0.0008883,0.0008798646,0.00004505385,0.0001424836,0.00007510433,0.01711559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190081,"threshold_uncertainty_score":0.03981221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757826527466492,"score_gpt":0.2171424946706233,"score_spread":0.1995642293959584,"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."}}