{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007465517,0.0002179027,0.0003799311,0.0001475043,0.0001728475,0.00003418901,0.0004795892,0.0003666079,0.0000356172],"category_scores_gemma":[0.00008304186,0.000262826,0.0002027476,0.0003288055,0.0001568984,0.00004008664,0.0001821175,0.0003145464,0.00005596312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535939,"about_ca_system_score_gemma":0.000275716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007849978,"about_ca_topic_score_gemma":0.00169462,"domain_scores_codex":[0.998255,0.0002936594,0.0002559232,0.0005031611,0.0002637343,0.0004285007],"domain_scores_gemma":[0.9988539,0.00002262428,0.000189889,0.0005937457,0.0001285219,0.0002112739],"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":[0.001527988,0.001078855,0.2585406,0.001048177,0.0007223279,0.0005554734,0.001633239,0.002051956,0.7202987,0.003389111,0.005446846,0.003706713],"study_design_scores_gemma":[0.02343545,0.001668783,0.76289,0.001961524,0.0002775406,0.0002643648,0.0229785,0.0001511,0.150765,0.0003334629,0.03232135,0.002952947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933863,0.0004413697,0.001835305,0.0002575364,0.0002017499,0.0002904785,0.00003481877,0.00003720922,0.003515278],"genre_scores_gemma":[0.9964975,0.00005467137,0.00178474,0.00006976462,0.00005925007,0.000001228797,0.00006791179,0.00002157964,0.001443333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5695337,"threshold_uncertainty_score":0.9999824,"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."}}