{"id":"W3094824040","doi":"10.1123/ijspp.2020-0813","title":"Show Me the Data, Jerry! Data Visualization and Transparency","year":2020,"lang":"en","type":"article","venue":"International Journal of Sports Physiology and Performance","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"","keywords":"Transparency (behavior); Visualization; Computer science; Artificial intelligence; Computer security","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":[0.0002777633,0.00006907333,0.0001094247,0.00003964633,0.00006767581,0.00007234861,0.001708623,0.00002646527,0.00002866558],"category_scores_gemma":[0.00003422931,0.00004623767,0.00001100344,0.00008935119,0.00007736623,0.001252947,0.0004579479,0.00010442,0.000001603987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003126904,"about_ca_system_score_gemma":0.00004637066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001199094,"about_ca_topic_score_gemma":6.420762e-7,"domain_scores_codex":[0.9992117,0.00002143078,0.0002742073,0.0001884203,0.0002347684,0.00006949191],"domain_scores_gemma":[0.9992718,0.00003056964,0.0002284561,0.0002852804,0.0001281774,0.00005575855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009084663,0.000515139,0.2478519,0.0003504059,0.001160597,0.0002462023,0.01427731,0.00202328,0.008487349,0.1716656,0.05074559,0.5017682],"study_design_scores_gemma":[0.0004146935,0.0001110785,0.1088742,0.00005047323,0.00002553252,0.0001608614,0.00006592321,0.8667844,0.0001796262,0.0006544305,0.02256146,0.0001173779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505598,0.0009122508,0.2344556,0.0124158,0.001167476,0.00009860461,0.0001494198,0.00003339773,0.0002076769],"genre_scores_gemma":[0.9937638,0.003252453,0.0006441235,0.001906003,0.0002702161,1.695761e-7,0.0001462419,0.000002948954,0.00001402412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647611,"threshold_uncertainty_score":0.3175075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947802969525306,"score_gpt":0.3276387437665449,"score_spread":0.2681607140712918,"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."}}