{"id":"W1993292025","doi":"10.1046/j.1439-0523.2002.739124.x","title":"Genetic variation, heritability and progeny testing in meadow bromegrass","year":2002,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Open pollination; Heritability; Forage; Agronomy; Genetic gain; Genetic variation; Pasture; Dry matter; Plant breeding; Progeny testing; Pollination; Selection (genetic algorithm); Botany; Pollen; Genetics","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":[0.0006363334,0.0002264484,0.0001660628,0.0008002372,0.0002444751,0.0002293844,0.0001887751,0.00009387668,0.001213558],"category_scores_gemma":[0.0008186529,0.0001183166,0.0001641418,0.0002439377,0.0002432918,0.00008104041,0.0001772028,0.0001338226,0.0001512881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321818,"about_ca_system_score_gemma":0.0001242156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00671144,"about_ca_topic_score_gemma":0.01118636,"domain_scores_codex":[0.9996492,0.00009299926,0.0000230947,0.0001054771,0.00009271898,0.00003648606],"domain_scores_gemma":[0.9993287,0.0003343004,0.00012414,0.00008625437,0.00006635673,0.00006022571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004891774,0.0001996372,0.7274314,0.00004891382,0.0002678793,0.0006161139,0.0009324041,0.0007566011,0.2458744,0.0002663998,0.0001383926,0.02297876],"study_design_scores_gemma":[0.000005357884,0.00007918262,0.9962986,0.000003080855,0.00001865929,0.0002067063,0.00007431563,0.0003598737,0.002683976,0.00003672535,0.0002295632,0.000003901503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993268,0.0000461579,0.0003198595,0.000002852428,7.61874e-7,0.000003039097,0.0001006186,0.00001222954,0.000187676],"genre_scores_gemma":[0.9991617,0.0000166954,0.000434624,0.000003522369,8.409099e-7,0.000003942207,0.0002061272,0.000004737506,0.0001677414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00671144,"threshold_uncertainty_score":0.01334476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063623002784316,"score_gpt":0.1942200240751273,"score_spread":0.1535837940472841,"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."}}