{"id":"W2058763637","doi":"10.1007/s11130-014-0416-y","title":"Marketplace Analysis Demonstrates Quality Control Standards Needed for Black Raspberry Dietary Supplements","year":2014,"lang":"en","type":"article","venue":"Plant Foods for Human Nutrition","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Agricultural Research Service; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Blowing a raspberry; Anthocyanin; Food science; Dietary supplement; Food products; Composition (language); Chemistry; Biology; Toxicology","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":[0.02688561,0.001063182,0.001080734,0.003326156,0.00314316,0.004537787,0.001832173,0.003156148,0.01405439],"category_scores_gemma":[0.03474065,0.0008422575,0.001486211,0.002083199,0.003157962,0.002157138,0.001722387,0.0024168,0.00639618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397182,"about_ca_system_score_gemma":0.00543393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007775075,"about_ca_topic_score_gemma":0.01105286,"domain_scores_codex":[0.9455549,0.01139766,0.003587456,0.006071378,0.03220984,0.001178781],"domain_scores_gemma":[0.9627331,0.005236505,0.004336014,0.006780216,0.02028353,0.0006306974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002013508,0.001680691,0.03289352,0.001873294,0.0002439858,0.0006910322,0.003272474,0.0007339017,0.6398621,0.0121152,0.02640363,0.2782168],"study_design_scores_gemma":[0.000289225,0.003451561,0.07732984,0.001550875,0.000411232,0.002343819,0.001202597,0.003391429,0.470404,0.00405594,0.4353607,0.0002086956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3077979,0.009974994,0.4130795,0.009384391,0.002851847,0.01906349,0.01002871,0.008432141,0.219387],"genre_scores_gemma":[0.4542207,0.004021213,0.438677,0.006303661,0.0009584698,0.008691381,0.01218849,0.003104982,0.07183411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02688561,"threshold_uncertainty_score":0.1421864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368938634783643,"score_gpt":0.349395002125185,"score_spread":0.3157056157773486,"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."}}