{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004204027,0.0003363792,0.0002695711,0.002104523,0.001216833,0.0005604794,0.0002018864,0.0001254285,0.001052704],"category_scores_gemma":[0.000523453,0.0001478138,0.0002796089,0.0017289,0.0004400591,0.00009841422,0.00025899,0.0001652333,0.0001123709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003318467,"about_ca_system_score_gemma":0.001631859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5574534,"about_ca_topic_score_gemma":0.7372199,"domain_scores_codex":[0.9997999,0.00001403509,0.00001053392,0.00004530158,0.00009911124,0.00003110502],"domain_scores_gemma":[0.9996387,0.00002544202,0.00003521216,0.00001243347,0.0002338822,0.00005433655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001886875,0.0002156638,0.3792847,0.0002210215,0.0003653127,0.0003735085,0.003991446,0.00159113,0.5427783,0.0004152736,0.0004830415,0.06839382],"study_design_scores_gemma":[0.000007766744,0.0001636841,0.9859076,0.000005951052,0.0000647284,0.00007374139,0.0006675833,0.0009101754,0.0106054,0.00003664702,0.001533371,0.00002337055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986309,0.0000991003,0.0003871791,0.000007389459,0.000001173652,0.00001499965,0.0004198468,0.00000879379,0.0004305495],"genre_scores_gemma":[0.9924411,0.0001905328,0.003494748,0.00001627247,0.000001673169,0.00002286254,0.001410108,0.00001980468,0.002402975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4425466,"threshold_uncertainty_score":0.8903057,"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."}}