{"id":"W3006270750","doi":"10.3390/foods9020175","title":"Proximate Analysis and Nutritional Evaluation of Twenty Canadian Lentils by Principal Component and Cluster Analyses","year":2020,"lang":"en","type":"article","venue":"Foods","topic":"Food composition and properties","field":"Nursing","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Starch; Food science; Principal component analysis; Carbohydrate; Proximate; Resistant starch; Dietary fiber; Chemistry; Hydrolysis; Composition (language); Biology; Mathematics; Biochemistry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002099793,0.00008378474,0.0001757124,0.0001407852,0.00009070138,0.00004483571,0.00004543746,0.0000379734,0.0001186364],"category_scores_gemma":[0.00002123142,0.00007702639,0.00004966754,0.0002430235,0.00005734687,0.00008474811,0.00002226343,0.0000542945,0.000001917341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004041599,"about_ca_system_score_gemma":0.00002664707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004377473,"about_ca_topic_score_gemma":0.00422257,"domain_scores_codex":[0.9990842,0.0001606278,0.000183487,0.0001770222,0.0002746105,0.0001200185],"domain_scores_gemma":[0.9995728,0.00001941574,0.00005937924,0.00007440143,0.0001146117,0.0001594115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009550549,0.001246916,0.4093299,0.002268806,0.009859031,0.00001047798,0.02366667,0.007318059,0.4119408,0.0005547429,0.02246791,0.1017861],"study_design_scores_gemma":[0.004428078,0.002129887,0.2534984,0.0001136119,0.004826538,0.0000107433,0.0006089422,0.6265541,0.09638675,0.0004718491,0.01036129,0.0006098067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926945,0.001154343,0.00006302691,0.005249851,0.00004482375,0.0002264075,0.0001289349,0.00001528354,0.0004228123],"genre_scores_gemma":[0.9987975,0.000008893056,0.0003845551,0.0006081779,0.00002629656,0.00001165155,0.0001509506,0.00000583105,0.000006083062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.619236,"threshold_uncertainty_score":0.661746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08543345316249128,"score_gpt":0.3334931975827038,"score_spread":0.2480597444202125,"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."}}