{"id":"W7041119260","doi":"","title":"Canaryseed Crop","year":2016,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","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":"Crop; Sunflower; Temperate climate; Crop management; Production (economics); Investment (military); Crop production; Agriculture","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":[0.0003302557,0.0006299366,0.0004421097,0.001574332,0.001212261,0.0007764827,0.0009405607,0.0003057063,0.04207598],"category_scores_gemma":[0.0003205922,0.0001308519,0.0004383179,0.001638226,0.0001973199,0.0006495388,0.001007475,0.0005733004,0.01724326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564297,"about_ca_system_score_gemma":0.001436712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116059,"about_ca_topic_score_gemma":0.0404203,"domain_scores_codex":[0.9997374,0.00001658309,0.00001237942,0.00007657996,0.0001077629,0.00004929491],"domain_scores_gemma":[0.9996766,0.00002311777,0.00002611039,0.00004799593,0.0001401234,0.0000860529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002275787,0.000980725,0.01320192,0.003410649,0.0001877313,0.001511731,0.0005845458,0.0009946598,0.2834181,0.009903328,0.1447797,0.5387511],"study_design_scores_gemma":[0.0000583266,0.0002161569,0.02320449,0.0001062053,0.00005968722,0.0005726393,0.0002229861,0.0003049719,0.01437421,0.0007398266,0.9601038,0.00003681434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1867333,0.01254482,0.009084221,0.001683378,0.0009267121,0.0009854686,0.0416567,0.005132705,0.7412527],"genre_scores_gemma":[0.416598,0.01178139,0.03106791,0.001704298,0.000192375,0.0006106078,0.1233515,0.001551555,0.4131424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04207598,"threshold_uncertainty_score":0.1407582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004209770471120212,"score_gpt":0.2234514985745294,"score_spread":0.2192417281034092,"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."}}