{"id":"W4247581412","doi":"10.4141/p06-047","title":"Tristar fenugreek","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Trigonella; Cultivar; Legume; Forage; Diosgenin; Agronomy; Yield (engineering); Biology; Biomass (ecology); Fodder; Agriculture; Horticulture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002075989,0.00008001246,0.0001521696,0.001064693,0.0002543775,0.00006452109,0.0008242439,0.00008224251,0.00005776496],"category_scores_gemma":[0.0008164277,0.00007068231,0.00004434789,0.0008768648,0.0008849487,0.0002075212,0.00001325114,0.0003387871,0.0000268776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865233,"about_ca_system_score_gemma":0.0008195747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669434,"about_ca_topic_score_gemma":0.0213128,"domain_scores_codex":[0.9986839,0.00001626314,0.0003340186,0.0001337312,0.0002304557,0.0006016721],"domain_scores_gemma":[0.9987089,0.000056312,0.000211645,0.0001725735,0.0001761311,0.0006744462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001681092,0.0000208237,0.008454549,0.00001302389,0.00001269346,0.001761088,0.001339627,0.0000161697,0.9053566,0.004558085,0.01832847,0.05997072],"study_design_scores_gemma":[0.0004816537,0.0004378665,0.01602256,0.00008986346,0.00002488494,0.005319884,0.000417138,0.00002198365,0.3986526,0.001171213,0.5771148,0.0002455804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895397,0.0007830131,0.0004862396,0.001760891,0.005685851,0.00007225842,0.0000669746,0.00001086659,0.001594137],"genre_scores_gemma":[0.9961835,0.000003008995,0.003031839,0.0005431128,0.0001994948,4.956154e-8,5.438292e-7,0.000005810311,0.00003261948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5587863,"threshold_uncertainty_score":0.9965457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342128299150363,"score_gpt":0.2427750815949625,"score_spread":0.2293537986034589,"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."}}