{"id":"W3199044464","doi":"10.1002/fft2.113","title":"Research Profile: Dr. Jeevan K. Prasain","year":2021,"lang":"en","type":"article","venue":"Food Frontiers","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Chemistry; Traditional medicine; Medicine; Computer science","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":[0.00196425,0.000820274,0.00107128,0.0007638952,0.0007851035,0.002809368,0.001511435,0.003524675,0.1518721],"category_scores_gemma":[0.01168864,0.000197487,0.0005350273,0.0005022187,0.0004918857,0.001963021,0.001529052,0.003202899,0.09989216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474525,"about_ca_system_score_gemma":0.004313612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198869,"about_ca_topic_score_gemma":0.001417791,"domain_scores_codex":[0.9984053,0.0002443384,0.00008917194,0.0003372334,0.0007329822,0.0001909682],"domain_scores_gemma":[0.9903367,0.0007741875,0.0004718831,0.0001918699,0.004324597,0.003900809],"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":[0.00004530086,0.0000244357,0.0003699833,0.0001601462,0.000004730074,0.0002964053,0.00005885238,0.00004094485,0.0001570415,0.0003820733,0.9486305,0.04982961],"study_design_scores_gemma":[0.0000462607,0.0001210011,0.0008039085,0.0003502149,0.00001062821,0.002881858,0.0003127749,0.0001434377,0.0002800716,0.0004890838,0.9945358,0.00002495373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004467151,0.04836922,0.003711788,0.6263925,0.2037939,0.0007709477,0.00236675,0.001770243,0.1083575],"genre_scores_gemma":[0.03535089,0.05345272,0.002894582,0.3397732,0.107504,0.0008034086,0.002049086,0.0006341838,0.4575378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1518721,"threshold_uncertainty_score":0.5080627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608308048796777,"score_gpt":0.3538902477379938,"score_spread":0.2930594428583161,"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."}}