{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167057,0.0001842464,0.0002003681,0.0003603977,0.001106455,0.00056115,0.0003224805,0.0001014445,0.001044948],"category_scores_gemma":[0.0002102504,0.00009398417,0.0001167375,0.0006827055,0.0002436748,0.0001278553,0.0002262505,0.0001758904,0.0001010045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01264213,"about_ca_system_score_gemma":0.007466285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821201,"about_ca_topic_score_gemma":0.9959494,"domain_scores_codex":[0.9998714,0.000004957551,0.00000493458,0.00002954464,0.00004671657,0.00004253077],"domain_scores_gemma":[0.9997525,0.00001098874,0.00002262565,0.000005056069,0.0001355309,0.0000733002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001666468,0.000425158,0.7045949,0.0001598819,0.000139182,0.0007790786,0.003396718,0.001997797,0.2184434,0.0009154007,0.002416535,0.06506555],"study_design_scores_gemma":[0.00001038376,0.0001131983,0.991197,0.000009765461,0.00002297328,0.00005567974,0.0015518,0.0007490324,0.003552286,0.00004756567,0.002677358,0.00001295642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978193,0.0001386232,0.00009527196,0.00002536904,0.00000121879,0.000008266638,0.0004707268,0.000008324526,0.00143304],"genre_scores_gemma":[0.9969749,0.0001114867,0.000264733,0.0000284398,3.251079e-7,0.000005447989,0.0005705745,0.000004619219,0.002039462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178799,"threshold_uncertainty_score":0.09172553,"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."}}