{"id":"W2757120171","doi":"","title":"Biochemical Profiling of Phenolic Compounds in Lentil Seeds","year":2016,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers","keywords":"Profiling (computer programming); Biology; Botany; Horticulture; Computational biology; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001130937,0.0002837586,0.0001657417,0.0008712656,0.0002707511,0.0003887313,0.0001212368,0.0001750585,0.0009408695],"category_scores_gemma":[0.0001257581,0.000153759,0.0002439431,0.0005573882,0.0001255282,0.0002144418,0.0001344909,0.0004361641,0.0003585366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455423,"about_ca_system_score_gemma":0.000589538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082315,"about_ca_topic_score_gemma":0.01931543,"domain_scores_codex":[0.9999367,0.000006852727,0.000005183672,0.00001368942,0.000017726,0.00001989775],"domain_scores_gemma":[0.9998125,0.00002024852,0.00002840354,0.00001259198,0.00006784658,0.00005850504],"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":[0.0001118857,0.00002751926,0.001372246,0.00002336478,0.000009706001,0.00004739275,0.0000253282,0.00002166597,0.9972091,0.00002091905,0.00002452439,0.001106227],"study_design_scores_gemma":[0.00001848288,0.0003208293,0.2313546,0.00001314085,0.00006286713,0.0002322169,0.0002386378,0.0003949833,0.7660477,0.00007803828,0.00122022,0.00001839124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928966,0.001382511,0.0008862892,0.00006748731,0.000012968,0.00004362276,0.00176357,0.00004015989,0.002906726],"genre_scores_gemma":[0.9857559,0.0007510908,0.001706875,0.0001543652,0.000008399012,0.00003808892,0.002441399,0.00002409688,0.009119898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082315,"threshold_uncertainty_score":0.02152032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007736152822763568,"score_gpt":0.1875470384102127,"score_spread":0.1798108855874491,"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."}}