{"id":"W2016655572","doi":"10.1089/jcr.2011.1210","title":"Caffeine and Physical Performance","year":2011,"lang":"en","type":"article","venue":"Journal of Caffeine Research","topic":"Coffee research and impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Memphis; Alertness; Library science; Caffeine; Medicine; Psychology; Gerontology; History; Media studies; Sociology; Psychiatry","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":[0.001935468,0.0001073889,0.0003665101,0.0005565361,0.0000986201,0.0000279532,0.0001600193,0.00005356174,0.0002119348],"category_scores_gemma":[0.0009298397,0.00007080201,0.0000980845,0.0004483328,0.000268079,0.0002651001,0.0001160833,0.000986674,0.00004432057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009243052,"about_ca_system_score_gemma":0.0004581584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003770701,"about_ca_topic_score_gemma":0.000002474416,"domain_scores_codex":[0.9975873,0.0001431971,0.0002631207,0.0001268334,0.001317781,0.0005618235],"domain_scores_gemma":[0.997746,0.0002056358,0.00007534616,0.0002187984,0.0009785615,0.0007756833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01369017,0.003787624,0.1293174,0.001790919,0.000802519,0.004169391,0.009407696,0.000002243286,0.2849015,0.0006662786,0.05493072,0.4965335],"study_design_scores_gemma":[0.007442192,0.02840071,0.8002878,0.0009828914,0.0001114332,0.006276053,0.0009226213,0.001763923,0.1338622,0.0007629457,0.01889934,0.000287887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872333,0.001118687,0.00001527169,0.0013809,0.0000426608,0.0001750154,0.00000110032,0.000007245952,0.01002577],"genre_scores_gemma":[0.9960639,0.001404064,0.000324782,0.00003586425,0.0007282238,0.000002198071,6.353715e-7,0.00001894634,0.001421385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6709703,"threshold_uncertainty_score":0.4286663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2470934038803353,"score_gpt":0.4511009602354402,"score_spread":0.2040075563551049,"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."}}