{"id":"W2026629873","doi":"10.1353/nin.2002.0019","title":"The Impact of Baseball's New Television Contracts","year":2002,"lang":"en","type":"article","venue":"Nine","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Negotiation; Broadcast television systems; Advertising; Revenue; Football; Commercial broadcasting; Broadcasting (networking); Political science; Business; Telecommunications; Engineering; Finance; Public broadcasting; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00605034,0.0003161091,0.0005155765,0.001848972,0.002401175,0.01260003,0.001740289,0.003296569,0.02921685],"category_scores_gemma":[0.02345067,0.000429718,0.000370787,0.002248593,0.002102396,0.003230526,0.002440223,0.005406087,0.00158316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104624,"about_ca_system_score_gemma":0.007410063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07420871,"about_ca_topic_score_gemma":0.09902682,"domain_scores_codex":[0.9941292,0.001084136,0.0001357915,0.000399768,0.002723558,0.00152755],"domain_scores_gemma":[0.9803152,0.008258064,0.002922679,0.000562094,0.002718522,0.005223331],"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":[0.001707914,0.002022855,0.08584891,0.0003202434,0.0001721935,0.001771955,0.001972836,0.005061851,0.0007588961,0.5932542,0.1797376,0.1273706],"study_design_scores_gemma":[0.0005047087,0.0008089567,0.2923768,0.0010684,0.0001109639,0.0004684133,0.009984682,0.004736563,0.0008214283,0.05199409,0.6369827,0.0001423832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3926923,0.01077684,0.0005537862,0.0466661,0.001397166,0.0001124614,0.002249889,0.00005412398,0.5454974],"genre_scores_gemma":[0.9326169,0.004052182,0.0001545263,0.007575824,0.001193188,0.0000425376,0.0007502256,0.00004432365,0.05357031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07420871,"threshold_uncertainty_score":0.1475535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898536570844818,"score_gpt":0.235004719961906,"score_spread":0.1960193542534578,"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."}}