{"id":"W2491751038","doi":"10.2134/agronj2015.0209","title":"Optimizing Seeding Dates and Rates for Canola Production in the Humid Eastern Canadian Agroecosystems","year":2016,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Government of New Brunswick; Agriculture and Agri-Food Canada; University of Guelph; Health PEI; Université Laval; Dalhousie University","funders":"Agriculture and Agri-Food Canada; McGill University; Université Laval","keywords":"Seeding; Canola; Agronomy; Yield (engineering); Environmental science; Semis; Field experiment; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0008035739,0.0004092166,0.0003104421,0.0006661561,0.001115626,0.0009362351,0.0008781843,0.0002729381,0.0004227553],"category_scores_gemma":[0.001425584,0.000235278,0.0002927835,0.0007752163,0.0002950089,0.0004023444,0.0003002185,0.000289501,0.00009220186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01373955,"about_ca_system_score_gemma":0.006940942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8769936,"about_ca_topic_score_gemma":0.9668119,"domain_scores_codex":[0.999604,0.00005098932,0.00002014434,0.0001257631,0.00009922942,0.00009980673],"domain_scores_gemma":[0.9992016,0.0002501137,0.0001379957,0.00004823148,0.0002377324,0.000124289],"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":[0.001121753,0.0003944768,0.5584586,0.0004490514,0.0002994435,0.0004287578,0.0009370199,0.1447639,0.1911501,0.001331174,0.001698441,0.09896743],"study_design_scores_gemma":[0.00007091783,0.0002459275,0.8787144,0.00004079466,0.0001546651,0.00008707301,0.0009298592,0.09482499,0.02004917,0.0004004898,0.004390448,0.00009132843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958851,0.0003158321,0.001869195,0.00004294921,0.000004429134,0.00005153955,0.0002874694,0.00004386716,0.00149963],"genre_scores_gemma":[0.9929712,0.0002833466,0.005487196,0.00002562926,0.00000137276,0.0000267229,0.0003906582,0.0000189961,0.0007948611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230064,"threshold_uncertainty_score":0.2474616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111438757413453,"score_gpt":0.247860700312237,"score_spread":0.2367168245708917,"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."}}