{"id":"W2259177049","doi":"10.1177/1527002515587260","title":"The Louis–Schmelling Paradox and the League Standing Effect Reconsidered","year":2015,"lang":"en","type":"article","venue":"Journal of Sports Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"League; Economics; Competitor analysis; Preference; Order (exchange); Sports economics; Consumer choice; Test (biology); Microeconomics; Revenue; Consumer demand; Loss aversion","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":[0.001960616,0.0002790981,0.000677425,0.0007150525,0.001137739,0.002442718,0.0006598935,0.002000389,0.01913894],"category_scores_gemma":[0.006457619,0.0001713454,0.0006794248,0.0006619964,0.004100132,0.004734848,0.001571019,0.003146965,0.001078913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242938,"about_ca_system_score_gemma":0.0007704851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004950022,"about_ca_topic_score_gemma":0.004463345,"domain_scores_codex":[0.9996029,0.0001146809,0.00001580112,0.0001026999,0.00009252293,0.00007144042],"domain_scores_gemma":[0.9970247,0.001758186,0.0004341954,0.0002687144,0.000269939,0.0002442332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001320621,0.00005166312,0.002884277,0.00005716138,0.00003047897,0.000185543,0.0003085285,0.001402429,0.0002799044,0.9649928,0.007218595,0.02245657],"study_design_scores_gemma":[0.00005638104,0.00004382902,0.003962247,0.00005944986,0.00001947542,0.000119013,0.0003066768,0.003030256,0.0002101599,0.9617879,0.03037628,0.0000284506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4310529,0.01369611,0.04194983,0.18189,0.001141478,0.00004348278,0.0006195897,0.0001459514,0.3294607],"genre_scores_gemma":[0.9647172,0.002570964,0.002280112,0.00745004,0.0007217659,0.00002345336,0.00008628201,0.00004478165,0.02210534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01913894,"threshold_uncertainty_score":0.06402612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440536533258526,"score_gpt":0.2156863179598155,"score_spread":0.1812809526272302,"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."}}