{"id":"W2095388996","doi":"10.1021/jf400293u","title":"A Simple Approach To Detect Caffeine in Tea Beverages","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Coffee research and impacts","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Independent Electricity System Operator","keywords":"Caffeine; Simple (philosophy); Food science; Chemistry; Computer science; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002766235,0.0008245371,0.0005605248,0.001110194,0.0005131696,0.0003282195,0.000546452,0.001088221,0.002184285],"category_scores_gemma":[0.0004208275,0.0004108112,0.0006841786,0.0004105956,0.0002374351,0.0004287593,0.0005753606,0.0008769835,0.001133433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304454,"about_ca_system_score_gemma":0.0004339365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009048626,"about_ca_topic_score_gemma":0.002998292,"domain_scores_codex":[0.9994216,0.00008872557,0.00002977034,0.0001764101,0.000245171,0.00003833057],"domain_scores_gemma":[0.9998407,0.00002319706,0.00003368265,0.00002313864,0.00005839019,0.0000207143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000035256,0.00002679747,0.000214801,0.0001723568,0.00001871836,0.00007954198,0.00002215966,0.00002934903,0.9914958,0.00008901749,0.0001713883,0.007644807],"study_design_scores_gemma":[0.00002229118,0.000776321,0.00484535,0.00002882636,0.00009838369,0.0012593,0.00006111433,0.001902685,0.9713055,0.0002325656,0.01941289,0.00005471873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4291097,0.03129798,0.5072428,0.001817897,0.00146611,0.002860327,0.003417504,0.003549791,0.01923787],"genre_scores_gemma":[0.4868887,0.009563726,0.4679535,0.001010775,0.0002607761,0.001633715,0.001826245,0.0001411375,0.03072125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002184285,"threshold_uncertainty_score":0.007307112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430422222671777,"score_gpt":0.2430526692225425,"score_spread":0.2287484469958247,"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."}}