{"id":"W4387234799","doi":"10.3390/agriculture13101924","title":"Grain Yield Potential of Intermediate Wheatgrass in Western Canada","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Agronomy; Forage; Yield (engineering); Biology; Cropping; Perennial plant; Intercropping; Productivity; Cropping system; Crop; Agriculture; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000885155,0.00008593317,0.0001122116,0.00001227888,0.00003888897,0.00001393652,0.0001591295,0.00004532695,0.00009149603],"category_scores_gemma":[0.00001658492,0.00002815901,0.00003996818,0.0005462659,0.00001875199,0.00004459421,0.00007671041,0.00008140187,0.00001203114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002288413,"about_ca_system_score_gemma":0.000008588858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2050321,"about_ca_topic_score_gemma":0.8750947,"domain_scores_codex":[0.999283,0.00002633727,0.0001546293,0.000184601,0.0001646843,0.0001868098],"domain_scores_gemma":[0.9998232,0.00001692942,0.00004941832,0.00003671908,0.00002843536,0.00004534769],"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":[0.0000338771,0.0001440129,0.04057275,0.00004679851,0.00004627389,0.0001134505,0.0001897443,0.000432692,0.4579464,0.000520165,0.4431425,0.05681137],"study_design_scores_gemma":[0.00007367126,0.00004593186,0.8917227,0.00002208805,0.000004566095,0.00000232759,0.0006882591,0.000008606505,0.003379265,0.00006662481,0.1038777,0.0001082413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918333,0.00005016669,4.790118e-7,0.007194521,0.0004778153,0.00009458641,0.00002081754,0.00004360217,0.0002846745],"genre_scores_gemma":[0.9959587,0.00008022622,0.000002320848,0.0002424896,0.0001902735,0.0000102243,0.00009370372,4.225056e-7,0.003421638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.85115,"threshold_uncertainty_score":0.8002617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009422930016548226,"score_gpt":0.1816994880313718,"score_spread":0.1722765580148235,"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."}}