{"id":"W3153639772","doi":"10.37920/sasj.2021.55.1.6","title":"Contextual batting and bowling in limited overs cricket","year":2021,"lang":"en","type":"article","venue":"South African Statistical Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cricket; Statistic; Set (abstract data type); Computer science; Clutch; Statistics; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005319725,0.0001138708,0.0003327234,0.0001709081,0.0001305311,0.0001913363,0.00007635803,0.00005197072,0.0009481726],"category_scores_gemma":[0.0005295016,0.0001225766,0.00004612746,0.0002394655,0.00008114393,0.0001092916,0.00004367251,0.0003783548,0.0000434411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006349939,"about_ca_system_score_gemma":0.00006802931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003731143,"about_ca_topic_score_gemma":0.00002106372,"domain_scores_codex":[0.998715,0.0000170858,0.0006128815,0.0002528356,0.00006045721,0.0003417309],"domain_scores_gemma":[0.9992779,0.0001407314,0.0002205776,0.0001046088,0.00005237768,0.0002038232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004969322,0.0000845911,0.6049063,0.0000311716,0.00007171246,0.0007660792,0.004423025,0.0003802404,0.000009801527,0.3832477,0.0007023611,0.005327368],"study_design_scores_gemma":[0.003671228,0.0002394597,0.7321613,0.0001534682,0.00004458555,0.0005308051,0.01568829,0.1256165,0.00002050474,0.09061656,0.03020346,0.001053804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819969,0.002737251,0.09128541,0.001030286,0.0005933857,0.00009084342,0.0006434064,0.00002106501,0.02160143],"genre_scores_gemma":[0.9956751,0.0001482628,0.003524473,0.0002845082,0.0001365999,0.00000120818,0.000009542864,0.00001442838,0.0002058866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2926311,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436040708331061,"score_gpt":0.235664197916563,"score_spread":0.2013037908332524,"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."}}