{"id":"W1853430135","doi":"10.1002/pca.2354","title":"Profiling Phlorotannins in Brown Macroalgae by Liquid Chromatography–High Resolution Mass Spectrometry","year":2012,"lang":"en","type":"article","venue":"Phytochemical Analysis","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Fucus vesiculosus; Chemistry; Phloroglucinol; Brown algae; Chromatography; Ascophyllum; Mass spectrometry; Fucus; Electrospray; Algae; Botany; Organic chemistry","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":[0.0002698887,0.0002569381,0.0004411448,0.000117109,0.000120455,0.00004980989,0.0003407518,0.0001764828,0.0004799622],"category_scores_gemma":[0.0000621505,0.0001212625,0.0003953532,0.004281493,0.0001230294,0.0002378979,0.0000991535,0.0002746659,0.00003476027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364986,"about_ca_system_score_gemma":0.000004187699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054431,"about_ca_topic_score_gemma":0.00006609022,"domain_scores_codex":[0.9979331,0.000102877,0.0003615769,0.0004946155,0.0003792561,0.0007284959],"domain_scores_gemma":[0.9992825,0.000153406,0.000139211,0.0001265246,0.00006260291,0.0002357252],"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":[0.00007723491,0.0002148899,0.1387915,0.000003960645,0.0001917573,0.000001032765,0.00001443567,0.000003003049,0.8602087,0.00004732623,0.0001959042,0.0002503273],"study_design_scores_gemma":[0.0001809636,0.0001330461,0.2054602,0.00001131304,0.0002462965,0.000002170088,0.0001270243,0.0002930306,0.7922853,0.0002305959,0.0006201164,0.000409949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971325,0.0009625795,0.0002064523,0.0006148134,0.00004906203,0.0001811587,0.00007041678,0.000100155,0.000682813],"genre_scores_gemma":[0.9976427,0.00004019984,0.001303481,0.0001238839,0.0003663985,0.00005323165,0.0004256245,0.000002450623,0.00004205879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06792338,"threshold_uncertainty_score":0.525525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371859272935865,"score_gpt":0.2310556831821609,"score_spread":0.2173370904528022,"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."}}