{"id":"W4311533484","doi":"10.3390/agronomy12123077","title":"Performance and Economic Evaluation of Low-Lignin Alfalfa ‘Hi-Gest® 360’ in Saskatchewan Canada","year":2022,"lang":"en","type":"article","venue":"Agronomy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Monoculture; Lignin; Neutral Detergent Fiber; Bloom; Agronomy; Nutrient; Medicago sativa; Forage; Biology; Chemistry; Horticulture; Animal science; Botany","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007851233,0.0005672238,0.0003917236,0.0008147598,0.001740907,0.001281137,0.001202411,0.000379943,0.001596006],"category_scores_gemma":[0.0004731603,0.0002637473,0.0004650727,0.001450563,0.0007576539,0.0003849321,0.0005703899,0.0003210182,0.0004518974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03317566,"about_ca_system_score_gemma":0.02253392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9663588,"about_ca_topic_score_gemma":0.9913949,"domain_scores_codex":[0.9993407,0.00006115835,0.00002617244,0.000159632,0.0002291316,0.0001831236],"domain_scores_gemma":[0.9988839,0.0000438189,0.00008670626,0.00004492778,0.0005458104,0.0003948635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004130177,0.001167244,0.7186491,0.0004065965,0.0005208423,0.001934474,0.001351086,0.0128919,0.1681206,0.001096935,0.004963272,0.08476772],"study_design_scores_gemma":[0.00009710364,0.001229166,0.9758045,0.00004605304,0.0001064848,0.0001895494,0.002408116,0.004872516,0.006453558,0.00007860858,0.008650698,0.00006354241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952042,0.0002259457,0.0001674982,0.00007713066,0.000005050906,0.00005418163,0.0009035462,0.00002558573,0.003336848],"genre_scores_gemma":[0.9912249,0.0003212257,0.0008990794,0.000128661,0.000001939116,0.00003467944,0.002180776,0.00001768171,0.005191148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03364122,"threshold_uncertainty_score":0.2407074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121011533311458,"score_gpt":0.185338453968419,"score_spread":0.1732373006372732,"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."}}