{"id":"W4246250660","doi":"10.31038/nrfsj.2019212","title":"https://researchopenworld.com/discovering-features-of-a-beverage-to-increase-product-use-pakistan-mind-genomics-and-mango-nectar/#","year":2019,"lang":"en","type":"article","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"Magyar Tudományos Akadémia","keywords":"Genomics; Nectar; Product (mathematics); Biology; Biotechnology; Botany; Genome; Gene; Genetics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001997861,0.0004948699,0.0004649601,0.0006158234,0.0007366675,0.001730183,0.0007395049,0.00120006,0.2658812],"category_scores_gemma":[0.006070334,0.0002913806,0.0003511372,0.0006712401,0.0008860678,0.002117404,0.001476454,0.0008078318,0.0893572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004717112,"about_ca_system_score_gemma":0.0008264297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163486,"about_ca_topic_score_gemma":0.004708191,"domain_scores_codex":[0.9995629,0.0001245211,0.00002287584,0.00009192977,0.0001375797,0.00006007064],"domain_scores_gemma":[0.9932643,0.004033807,0.000335181,0.001148667,0.0006709931,0.0005469735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003290237,0.0045911,0.02869405,0.002506706,0.00008720505,0.0009593312,0.00636266,0.0009662419,0.03468784,0.01765423,0.3332556,0.5669447],"study_design_scores_gemma":[0.0008236931,0.00202917,0.06397028,0.0003840438,0.0000953714,0.0007617339,0.003642931,0.003316177,0.03758849,0.02034656,0.8668757,0.0001657706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2629437,0.001650451,0.04035099,0.009700372,0.0005350174,0.002221582,0.04570044,0.02662122,0.6102763],"genre_scores_gemma":[0.5838875,0.002456791,0.1010118,0.003153993,0.0001309469,0.004281869,0.03225088,0.005608123,0.2672182],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7341188,"threshold_uncertainty_score":0.889461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009922863044143153,"score_gpt":0.2667092175799236,"score_spread":0.2567863545357805,"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."}}