{"id":"W7058478373","doi":"","title":"Nutritional and Bioactive Properties of Canadian Faba Bean (Vicia faba L.) Proteins","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vicia faba; Value (mathematics); Population; Chemical composition","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":[],"consensus_categories":[],"category_scores_codex":[0.000215641,0.0003163093,0.0001596222,0.0003742438,0.0003138285,0.0004287727,0.0001784281,0.0001928677,0.001205384],"category_scores_gemma":[0.0001880894,0.00008866337,0.0002384715,0.0003058605,0.0001699458,0.0001547891,0.0001550039,0.0003232497,0.000274006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130871,"about_ca_system_score_gemma":0.0005090063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03186591,"about_ca_topic_score_gemma":0.03159353,"domain_scores_codex":[0.9999043,0.00001271119,0.000004526388,0.00001959911,0.00002462998,0.00003417872],"domain_scores_gemma":[0.9998423,0.00001731738,0.00002402813,0.00000415396,0.00005085242,0.00006120113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005169572,0.00004207939,0.0005963958,0.00005136285,0.00001127622,0.00001938415,0.00005431677,0.00004281957,0.9966109,0.00005073257,0.00008421246,0.001919569],"study_design_scores_gemma":[0.00003849737,0.001386315,0.1220358,0.0000478828,0.0001473693,0.0002022691,0.0004985564,0.000473189,0.864557,0.0001319159,0.010449,0.00003224604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936078,0.00331018,0.0004592262,0.0001446101,0.00001729261,0.00001281245,0.0007599993,0.00001602349,0.001672122],"genre_scores_gemma":[0.9904919,0.001153431,0.0006504324,0.00009531118,0.000007275894,0.000006901185,0.001411774,0.00002147261,0.006161481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9681341,"threshold_uncertainty_score":0.06336081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770752120028102,"score_gpt":0.2316942452878966,"score_spread":0.2139867240876156,"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."}}