{"id":"W7161990169","doi":"10.82308/25479","title":"Nitrogen fertilization and nutrition of canola in eastern Canada","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Nitrogen fertilizer; Environmental factor; Human fertilization; Nitrification","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":[0.0002552937,0.0002758295,0.0002740154,0.001090911,0.002755719,0.001250179,0.0005630077,0.0002261026,0.001216785],"category_scores_gemma":[0.0003956661,0.0001635689,0.0002004826,0.00233515,0.0006021173,0.0002680779,0.0003614667,0.0002999562,0.0001712612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03838906,"about_ca_system_score_gemma":0.03196272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952404,"about_ca_topic_score_gemma":0.9986904,"domain_scores_codex":[0.9996822,0.00001209585,0.000007635414,0.00007342315,0.0001234625,0.0001012407],"domain_scores_gemma":[0.9993804,0.00002987714,0.00004534017,0.00001067839,0.00043792,0.00009572362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001156279,0.0004120861,0.830812,0.0004662666,0.0002690719,0.001412334,0.006998669,0.003818379,0.07139896,0.001566176,0.004093428,0.07759631],"study_design_scores_gemma":[0.00001455734,0.00008608522,0.9735935,0.00005242178,0.0000739698,0.0001016886,0.006499256,0.001423861,0.004344694,0.0001549518,0.01361732,0.00003774557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990196,0.00104833,0.0001524441,0.0002156608,0.00001000256,0.00003893051,0.001017601,0.00002096456,0.007299983],"genre_scores_gemma":[0.9897211,0.001190976,0.0006508768,0.0001295394,0.00000253618,0.00001716958,0.0008303381,0.0000118584,0.007445691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03838906,"threshold_uncertainty_score":0.2785335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005949787688589461,"score_gpt":0.2405427998357554,"score_spread":0.2345930121471659,"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."}}