{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001543597,0.0006204427,0.001894923,0.001426976,0.000218855,0.000009139259,0.001117522,0.001295123,0.0007677834],"category_scores_gemma":[0.00001304685,0.0008297559,0.0009222423,0.001113865,0.001172312,0.001283133,0.0004495569,0.0009971597,0.00001599999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669872,"about_ca_system_score_gemma":0.002061817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006220127,"about_ca_topic_score_gemma":0.001623494,"domain_scores_codex":[0.9972214,0.0001389046,0.0004534429,0.0008812045,0.0007028758,0.0006022375],"domain_scores_gemma":[0.9973114,0.0001906138,0.001107939,0.0007203891,0.0003145238,0.0003551383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.01331814,0.002343275,0.03153343,0.006391301,0.001587063,0.0009878165,0.1635881,0.000006378389,0.7762227,0.0001314333,0.001499586,0.002390727],"study_design_scores_gemma":[0.005708858,0.0003635615,0.009824944,0.003269313,0.0008298872,0.0000141753,0.7947398,0.00002913717,0.1828566,0.0002323996,0.001332182,0.0007991159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862563,0.0002735495,0.0001200986,0.00036571,0.0001442979,0.0005955066,0.001013548,0.0001356469,0.01109537],"genre_scores_gemma":[0.9532608,0.0005874134,0.004484031,0.00001660003,0.00005422088,2.845785e-8,0.001177335,0.00005926069,0.04036031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6311517,"threshold_uncertainty_score":0.9994153,"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."}}