{"id":"W4283216500","doi":"10.3389/fnut.2022.928837","title":"Establishing a Common Nutritional Vocabulary - From Food Production to Diet","year":2022,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Biotechnology and Biological Sciences Research Council; Southern Cross University; U.S. Department of Agriculture","keywords":"Standardization; Production (economics); Vocabulary; Food security; Food processing; Ontology; Consumption (sociology); Computer science; Business; Food science; Agriculture; Biology; Ecology; Sociology; Economics","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":[0.0002206593,0.0001024678,0.0001411688,0.000133525,0.0001589489,0.00002270104,0.000188618,0.00009629126,0.00001673413],"category_scores_gemma":[0.0001338463,0.0001215631,0.00005203771,0.0002458483,0.00005058186,0.000006976024,0.0001549968,0.0001897444,0.000001475466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007952746,"about_ca_system_score_gemma":0.00002744231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004265429,"about_ca_topic_score_gemma":0.00003962866,"domain_scores_codex":[0.998903,0.0001351666,0.0001822384,0.0003795897,0.0002102215,0.0001897758],"domain_scores_gemma":[0.9996598,0.00001224498,0.00004463511,0.0001985672,0.00002478384,0.00005994118],"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":[0.002633841,0.001710195,0.04360519,0.0001588518,0.0001002394,0.0000255868,0.0003911443,0.0003414357,0.07244199,0.00007124525,0.8506799,0.02784032],"study_design_scores_gemma":[0.004194577,0.005801487,0.01691417,0.0003175042,0.00004182691,0.00004296286,0.006163156,0.0004058403,0.04472214,0.02047559,0.90001,0.0009106754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834661,0.005498937,0.006447986,0.001982173,0.00182452,0.0003584337,0.0002812981,0.00003879171,0.0001017594],"genre_scores_gemma":[0.965707,0.0002497827,0.03032201,0.0005520867,0.000660384,0.0004559684,0.001961383,0.00001744243,0.00007396982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0493301,"threshold_uncertainty_score":0.4957199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108037893334544,"score_gpt":0.2336411731469677,"score_spread":0.2225607942136223,"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."}}