{"id":"W2793354295","doi":"","title":"Turfgrass evaluation of native grasses","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agronomy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003982361,0.000390021,0.0002569128,0.0004928044,0.0002811532,0.0004289816,0.0001532858,0.0001083828,0.001605993],"category_scores_gemma":[0.0003855544,0.00004722289,0.0002052308,0.0003292726,0.0001266939,0.0002048184,0.0002722254,0.0001090609,0.0002611241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673911,"about_ca_system_score_gemma":0.0002703124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092637,"about_ca_topic_score_gemma":0.04698851,"domain_scores_codex":[0.9997579,0.00003714655,0.00001784105,0.00006196398,0.00008291105,0.00004211781],"domain_scores_gemma":[0.9994642,0.00005753139,0.0000999222,0.00001608744,0.0002181311,0.0001440405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001655439,0.0007909543,0.6463329,0.0004979323,0.0001645598,0.0003706032,0.001294858,0.001020858,0.3079515,0.0001202088,0.0006160851,0.03918409],"study_design_scores_gemma":[0.00001493785,0.002690054,0.9842184,0.00001256125,0.00006372073,0.0001201324,0.0006014007,0.0005200861,0.009650879,0.00002538993,0.002073175,0.000009234027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986865,0.0001119151,0.0001027579,0.000003152283,0.000002367409,0.00001298508,0.0002051166,0.000006071054,0.000869072],"genre_scores_gemma":[0.9953669,0.0002037007,0.0008074759,0.00002276607,0.000003906086,0.00002347103,0.001134675,0.000005889481,0.002431129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890736,"threshold_uncertainty_score":0.02172554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044177821394218,"score_gpt":0.1573529959621512,"score_spread":0.1523088181407569,"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."}}