{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003891664,0.0001271732,0.0002987248,0.0001260215,0.0001947693,0.00002276047,0.00009931191,0.0001014696,0.0002442284],"category_scores_gemma":[0.0005485875,0.0001034491,0.00008862255,0.0006202639,0.0001907804,0.00005646407,0.0001687153,0.0005144731,0.0002034121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360015,"about_ca_system_score_gemma":0.0002197012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006905474,"about_ca_topic_score_gemma":0.00000762439,"domain_scores_codex":[0.9981926,0.0001277885,0.0001855447,0.0003594318,0.000614877,0.000519736],"domain_scores_gemma":[0.9989796,0.00004824909,0.00003066151,0.0003459605,0.0004329521,0.0001625729],"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":[0.000085068,0.0001555089,0.01905158,0.0001183509,0.0003605822,0.0001880996,0.0003781266,2.101802e-7,0.00324438,0.0005132905,0.9668829,0.009021865],"study_design_scores_gemma":[0.003296312,0.001720074,0.07039556,0.0002886805,0.0002148077,0.00009624452,0.01209924,0.0001106781,0.08965455,0.002421439,0.8192505,0.0004519531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808747,0.03300668,0.0006035645,0.05828235,0.002882325,0.001464179,0.00005646318,0.0002735985,0.09468383],"genre_scores_gemma":[0.8830354,0.000318244,0.01412405,0.0005772561,0.0004702288,0.00005908386,0.00006755997,0.00004168877,0.1013065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476325,"threshold_uncertainty_score":0.4218531,"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."}}