{"id":"W6981888912","doi":"","title":"FoodON: A global farm-to-fork food ontology - The development of a universal food vocabulary","year":2016,"lang":"en","type":"article","venue":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ontology; Interoperability; Semantic interoperability; Vocabulary; Semantics (computer science); Knowledge representation and reasoning; Controlled vocabulary; Terminology; Faecalibacterium prausnitzii; Semantic Web","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003715538,0.0007495761,0.0007486459,0.00430941,0.001579638,0.003144734,0.002359037,0.001889653,0.006217208],"category_scores_gemma":[0.004748687,0.0007029662,0.002038553,0.004017854,0.001498139,0.007294994,0.004509121,0.002317579,0.003675447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765324,"about_ca_system_score_gemma":0.009978863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03447404,"about_ca_topic_score_gemma":0.03651084,"domain_scores_codex":[0.9983012,0.0002515817,0.0003098238,0.000332023,0.0006068269,0.0001985964],"domain_scores_gemma":[0.9978898,0.0004302978,0.0001946252,0.0004239581,0.0008114747,0.0002497465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000301536,0.0002569147,0.005081879,0.002223332,0.0001254706,0.0008016876,0.003985713,0.00645927,0.01460361,0.4710284,0.2195648,0.2755674],"study_design_scores_gemma":[0.00002632344,0.00002646874,0.001761278,0.0005324741,0.00003616958,0.0002693794,0.0007508795,0.005995295,0.001819264,0.03673918,0.9519862,0.00005714463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01369496,0.001365343,0.8170519,0.004764187,0.001359498,0.001638388,0.07459109,0.01510777,0.07042684],"genre_scores_gemma":[0.05256563,0.002508589,0.7388234,0.002644037,0.0001819986,0.00180908,0.1742833,0.003936969,0.02324694],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9968553,"threshold_uncertainty_score":0.06854677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009424941001604821,"score_gpt":0.1991808886759588,"score_spread":0.189755947674354,"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."}}