{"id":"W2301516945","doi":"","title":"CANOLA QUALITY IN ALASKA (2001 HARVEST)","year":2004,"lang":"en","type":"article","venue":"ScholarWorks - UA (University of Alaska System)","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Acre; Brassica; Agronomy; Brassica rapa; Agriculture; Yield (engineering); Agricultural science; Environmental science; Biology","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":[0.000555611,0.0002735132,0.0001813631,0.00150087,0.001182077,0.0008247918,0.000260116,0.0002004633,0.01334525],"category_scores_gemma":[0.0005854719,0.000156474,0.0001474845,0.001646183,0.0001317339,0.0003053253,0.0003493059,0.0002549935,0.002494554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125187,"about_ca_system_score_gemma":0.0004480168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09414642,"about_ca_topic_score_gemma":0.2646263,"domain_scores_codex":[0.9996675,0.00001317561,0.0000171296,0.00006537448,0.0002132868,0.00002351433],"domain_scores_gemma":[0.9991649,0.00003578247,0.00008723218,0.00004022337,0.0005532969,0.0001186232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001973213,0.0007613853,0.7478501,0.000346214,0.0002503705,0.001422121,0.004079507,0.0006375691,0.0806078,0.0003817395,0.02383392,0.137856],"study_design_scores_gemma":[0.000009836224,0.0002136724,0.9771532,0.00001741069,0.00003030429,0.0001737573,0.0006649324,0.00005660038,0.00408397,0.00005053672,0.01753486,0.00001109468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411202,0.0005031629,0.0003083557,0.00008639045,0.000041929,0.0001201266,0.01472492,0.0001719148,0.04292297],"genre_scores_gemma":[0.8989366,0.0004966026,0.00187781,0.0001295338,0.00001642848,0.0001033129,0.02908513,0.00007756829,0.06927694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09414642,"threshold_uncertainty_score":0.1871969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035028911656452,"score_gpt":0.2293979754296335,"score_spread":0.219047686313069,"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."}}