{"id":"W2032653853","doi":"10.1021/jf100736m","title":"Fractionation of Hairless Canary Seed (<i>Phalaris canariensis</i>) into Starch, Protein, and Oil","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"University of Saskatchewan","keywords":"Fractionation; Extraction (chemistry); Starch; Chemistry; Agronomy; Chromatography; Composition (language); Fiber; Botany; Food science; Biology; Organic chemistry","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":[0.0001045939,0.0003992776,0.000186841,0.0004641661,0.0002360795,0.0002336691,0.0001791091,0.0001730052,0.0006620611],"category_scores_gemma":[0.0001425845,0.0001018304,0.0002541101,0.0004136979,0.0002000131,0.0002500315,0.0001969053,0.0003249132,0.0002928332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605608,"about_ca_system_score_gemma":0.0003405068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004858333,"about_ca_topic_score_gemma":0.01265954,"domain_scores_codex":[0.9999423,0.000005328965,0.000003613448,0.00001590892,0.00001979448,0.00001314406],"domain_scores_gemma":[0.9999136,0.00001880434,0.00001474656,0.000007542255,0.0000200601,0.00002531463],"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":[0.00006390981,0.00001952335,0.0003833963,0.00004593453,0.000007787523,0.0000384382,0.00001056488,0.00002544803,0.9973232,0.00002331655,0.0000152314,0.002043132],"study_design_scores_gemma":[0.000008945684,0.0003135263,0.02429755,0.000009999209,0.00005058129,0.0002318866,0.00005537421,0.0002904712,0.9728549,0.00003973382,0.001837711,0.000009342509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992305,0.001561473,0.003282645,0.00004254784,0.00001489793,0.00007588395,0.0002907631,0.00003669165,0.002390057],"genre_scores_gemma":[0.982307,0.001478998,0.009188262,0.0001133759,0.00001081982,0.00003219016,0.001756343,0.00004281987,0.005070223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004858333,"threshold_uncertainty_score":0.009660125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00562325463881939,"score_gpt":0.1953566956196302,"score_spread":0.1897334409808108,"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."}}