{"id":"W4255589368","doi":"10.1002/fsat.3402_13.x","title":"Canada's Cinderella crop","year":2020,"lang":"en","type":"article","venue":"Food Science and Technology","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rapeseed; Canola; Crop; Sunflower; Edible oil; Citation; Agriculture; Sunflower oil; Agricultural economics; Agricultural science; Political science; Agronomy; Business; Geography; Economics; Archaeology; Biology; Law; Food science","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":[0.000132082,0.0004720962,0.0001734528,0.00105726,0.00264707,0.001482916,0.0004793788,0.0003615427,0.04131255],"category_scores_gemma":[0.0002687256,0.000135515,0.000229936,0.001085279,0.0004823288,0.0002961615,0.0006094679,0.0007571381,0.006545743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01858543,"about_ca_system_score_gemma":0.0250091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9107748,"about_ca_topic_score_gemma":0.9771292,"domain_scores_codex":[0.999783,0.000005860391,0.000003081328,0.00003754646,0.0001232142,0.00004727632],"domain_scores_gemma":[0.9997287,0.000009934353,0.000008757919,0.00001399939,0.0001577896,0.00008078117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004978021,0.0001470552,0.01205114,0.0008198685,0.0000621649,0.001543046,0.001221772,0.000630499,0.1173608,0.05144949,0.4831428,0.3310736],"study_design_scores_gemma":[0.00001051008,0.00001993923,0.007175853,0.00003666392,0.00000531502,0.000105733,0.0001935761,0.00005463548,0.002741516,0.0003417903,0.989305,0.00000955214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08617243,0.01123828,0.001682897,0.01585605,0.001161122,0.0002177621,0.02595366,0.001435766,0.8562821],"genre_scores_gemma":[0.1745899,0.006774012,0.002948948,0.002635111,0.00003913668,0.00004950657,0.007709299,0.0001870648,0.805067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08922517,"threshold_uncertainty_score":0.1795012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006600484608934911,"score_gpt":0.2045430819662131,"score_spread":0.1979425973572781,"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."}}