{"id":"W4303628111","doi":"10.1016/j.dib.2022.108608","title":"Dataset on the total phenolic contents and total anti-oxidants capacity in commercially available whiskey","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007686397,0.0008173823,0.001170567,0.003018951,0.0004183737,0.0008931916,0.0009344647,0.001045865,0.02123761],"category_scores_gemma":[0.003247203,0.0002076331,0.0009143889,0.004691329,0.0001868985,0.0005216557,0.0008826576,0.0006634216,0.01205643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005078841,"about_ca_system_score_gemma":0.001064888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007029597,"about_ca_topic_score_gemma":0.01225837,"domain_scores_codex":[0.9992392,0.00006974456,0.0001673013,0.0002206552,0.0002046262,0.00009858162],"domain_scores_gemma":[0.9971073,0.0007472344,0.0007300169,0.0003545407,0.0009020203,0.0001587282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004796326,0.0008138285,0.1795622,0.01680529,0.0012892,0.0009821343,0.0003617644,0.002353059,0.017702,0.001591471,0.6509618,0.1227809],"study_design_scores_gemma":[0.0003089687,0.0004485966,0.3187425,0.00155874,0.0005427722,0.0006468641,0.0005069374,0.0008566706,0.005660986,0.001347179,0.6692644,0.0001152901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006876476,0.0003029949,0.0001635495,0.0000495837,0.00001644416,0.00002374722,0.9916624,0.0000866835,0.0008181619],"genre_scores_gemma":[0.009916777,0.0002969409,0.0005920578,0.00006043881,0.00001094425,0.0001538944,0.9880401,0.00001754481,0.0009111678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02123761,"threshold_uncertainty_score":0.07104689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122767587663896,"score_gpt":0.283559645623402,"score_spread":0.1712828868570124,"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."}}