{"id":"W2027791215","doi":"10.1515/jqas-2013-0118","title":"Declaration guidelines in test cricket","year":2014,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Simon Fraser University","funders":"","keywords":"Cricket; Declaration; Test (biology); Affect (linguistics); Computer science; Operations research; Artificial intelligence; Statistics; Econometrics; Machine learning; Psychology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003180894,0.0001132057,0.0007285288,0.001917861,0.00002825771,0.00003801162,0.0001532063,0.00006087222,0.0002944394],"category_scores_gemma":[0.0007832453,0.0001084178,0.0002433119,0.001671623,0.00003286193,0.0003547117,0.0000139803,0.0001754765,0.00001659819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000688437,"about_ca_system_score_gemma":0.00002460812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874133,"about_ca_topic_score_gemma":0.0009461043,"domain_scores_codex":[0.9976559,0.00001458226,0.001880909,0.000182856,0.0001018257,0.0001639874],"domain_scores_gemma":[0.998053,0.0001187158,0.001376774,0.0001735986,0.0002268133,0.00005117159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001248589,0.00008142923,0.9481419,0.000005156271,0.00006532518,0.00002368908,0.0002513933,0.02993468,0.000004426905,0.02066798,0.0002984936,0.0005130036],"study_design_scores_gemma":[0.000304739,0.00009246485,0.8323506,0.00003244817,0.00005277516,0.000003488613,0.0001525434,0.1488205,0.000008248166,0.009767418,0.008281845,0.0001330101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749539,0.001369351,0.01924227,0.0005867782,0.0001590386,0.0000405704,0.000007340522,0.000002335511,0.003638382],"genre_scores_gemma":[0.9952623,0.0008468837,0.00336551,0.0002312671,0.00007460575,0.000001094506,0.000005211015,0.000008163775,0.0002049427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188858,"threshold_uncertainty_score":0.4421151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09315999046208508,"score_gpt":0.3257909231516342,"score_spread":0.2326309326895491,"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."}}