{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002364577,0.00005469749,0.0001242198,0.00006104818,0.00006676454,0.00001579255,0.00001835606,0.00003490851,0.00001115585],"category_scores_gemma":[0.00002983662,0.00003098786,0.00004708916,0.000155506,0.00002473944,0.0000206522,0.000007900376,0.00005211078,0.0000021913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002186517,"about_ca_system_score_gemma":0.00001171931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153586,"about_ca_topic_score_gemma":0.000623699,"domain_scores_codex":[0.9995862,0.00002758055,0.00009981265,0.0001011029,0.00005731053,0.00012795],"domain_scores_gemma":[0.999716,0.00009752748,0.00001619556,0.0001124844,0.0000147324,0.00004303783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007091727,0.0004319204,0.9293528,0.0001687218,0.0009517403,0.00001383129,0.001627966,0.0002753649,0.01670544,0.03268668,0.002822731,0.01425369],"study_design_scores_gemma":[0.005579903,0.000561511,0.9437833,0.00003428317,0.0009110974,0.00004177168,0.0003169928,0.01767006,0.009656521,0.001033301,0.02018071,0.0002305323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906602,0.0001323486,0.004325938,0.001497988,0.00003032308,0.0003795388,0.000001535321,0.000025159,0.002946963],"genre_scores_gemma":[0.9976186,0.0000125332,0.0009322184,0.0004391793,0.00001828381,0.00002772444,0.000008231252,0.000005102617,0.0009381544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03165338,"threshold_uncertainty_score":0.1263648,"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."}}