{"id":"W2354514949","doi":"","title":"THE PRINCIPAL COMPOSITION CLUSTER ANALYSIS FOR CATECHINS AND ALKALOIDS IN TEA","year":2003,"lang":"en","type":"article","venue":"","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Principal component analysis; Composition (language); Chemistry; Green tea; Chemical composition; Food science; Cluster (spacecraft); Traditional medicine; Mathematics; Organic chemistry; Statistics; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003890051,0.001095042,0.001337316,0.005213588,0.002410218,0.001816045,0.0007516014,0.0004410599,0.002492275],"category_scores_gemma":[0.007851813,0.0003677126,0.002346455,0.004042996,0.0009333983,0.0006160144,0.001220549,0.001234794,0.0009526418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196577,"about_ca_system_score_gemma":0.003765401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082468,"about_ca_topic_score_gemma":0.006125416,"domain_scores_codex":[0.997322,0.001049722,0.0001805541,0.0004976951,0.0007071325,0.0002428729],"domain_scores_gemma":[0.9978383,0.0008224208,0.0001429732,0.0002567471,0.0008054769,0.0001341478],"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":[0.003517729,0.0009850215,0.06190482,0.001236612,0.002312099,0.0005841387,0.003282913,0.075337,0.09887066,0.01648192,0.009372775,0.7261145],"study_design_scores_gemma":[0.0003042886,0.0008967322,0.1668106,0.0001480807,0.0009565311,0.0006718683,0.001614852,0.7540643,0.03465442,0.02088901,0.01856099,0.000428363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3998284,0.0008979191,0.5882039,0.0005440152,0.00024403,0.001872708,0.002416455,0.002016534,0.00397602],"genre_scores_gemma":[0.6232495,0.0003979961,0.3682363,0.00003806829,0.00008366717,0.001230592,0.002893399,0.0004592236,0.003411339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01082468,"threshold_uncertainty_score":0.02152336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243985068266151,"score_gpt":0.2759143834020907,"score_spread":0.2634745327194292,"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."}}