{"id":"W4237653505","doi":"10.4141/cjps08193","title":"Lu oat","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Food composition and properties","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Cultivar; Avena; Test weight; Agronomy; Yield (engineering); Biology; Maturity (psychological); Horticulture; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002278086,0.0009873045,0.0007360574,0.001800309,0.001020476,0.0009422922,0.0007486783,0.0004249498,0.02218169],"category_scores_gemma":[0.0001985875,0.0001985426,0.0006406912,0.001110055,0.0002917806,0.0006430813,0.0006401769,0.0007523409,0.01283778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215483,"about_ca_system_score_gemma":0.0003961308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007148215,"about_ca_topic_score_gemma":0.014303,"domain_scores_codex":[0.9995999,0.00002555016,0.00004006554,0.0001273504,0.0001438581,0.00006332959],"domain_scores_gemma":[0.9998128,0.00000878675,0.00003299133,0.00002265289,0.00005713213,0.00006564145],"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":[0.0006847493,0.0002070907,0.001242292,0.0002683559,0.00003450442,0.0005585898,0.0001010666,0.00005986858,0.9654983,0.0007253435,0.002778005,0.02784184],"study_design_scores_gemma":[0.0003056953,0.002889462,0.08320487,0.0002087107,0.000274224,0.00393498,0.0004427885,0.0007473778,0.2661879,0.0005044983,0.6411286,0.0001707725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7683584,0.01050379,0.02155142,0.0006329535,0.0009487529,0.001594019,0.04054138,0.004295987,0.1515732],"genre_scores_gemma":[0.5358163,0.003941095,0.02485637,0.0008862362,0.0001123105,0.0006927227,0.07053411,0.001299392,0.3618615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02218169,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179363998616738,"score_gpt":0.228102231508918,"score_spread":0.2063085915227507,"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."}}