{"id":"W2970760672","doi":"","title":"COMPARISON OF TWO BLUEBERRY SUPPLEMENTATION PROTOCOLS ON RUNNING PERFORMANCE AND PHYSIOLOGICAL RESPONSES","year":2019,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463847,0.00007900178,0.000132851,0.00002924586,0.0001254359,0.00003498732,0.0001648324,0.00004539903,0.000262786],"category_scores_gemma":[0.000008909114,0.00003937597,0.00002970999,0.0002064604,0.00004150613,0.0001559878,0.00009928073,0.000132999,0.00002372975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001891635,"about_ca_system_score_gemma":0.000006502586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000208544,"about_ca_topic_score_gemma":0.00003150247,"domain_scores_codex":[0.999246,0.00009257152,0.0001201052,0.0002067796,0.0001951153,0.0001394432],"domain_scores_gemma":[0.9996759,0.00006273981,0.00008583697,0.0000573722,0.00006618473,0.00005194709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002270796,0.0000813769,0.7661006,0.00001260883,0.00000677474,9.709521e-7,0.0000854996,0.00003038853,0.2281063,0.0002394963,0.00002801974,0.005080922],"study_design_scores_gemma":[0.0005068844,0.001067029,0.965522,0.00005174974,0.000004484918,6.077271e-7,0.0004833678,0.0001237359,0.01918126,0.00001187922,0.01295152,0.0000954807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974315,0.000004787281,9.809416e-7,0.0001193877,0.00001331592,0.001260903,0.0000108599,0.00001552936,0.001142701],"genre_scores_gemma":[0.99725,0.00001173148,0.00003969945,0.00003553828,0.00001990716,0.00001022363,0.00002545124,6.823959e-7,0.002606819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208925,"threshold_uncertainty_score":0.2877322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081860970674131,"score_gpt":0.3497792358097602,"score_spread":0.2415931387423471,"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."}}