{"id":"W4319831072","doi":"10.19103/as.2022.0110.17","title":"Considerations with selecting turfgrass varieties and cultivars","year":2023,"lang":"en","type":"book-chapter","venue":"Burleigh Dodds series in agricultural science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Upload; Irrigation; Drought tolerance; Computer science; Agronomy; World Wide Web; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000323534,0.0003627287,0.0002732715,0.0001145812,0.0006351393,0.0003515442,0.0002816039,0.0001166576,0.0005394113],"category_scores_gemma":[0.0001021739,0.000232022,0.00003153668,0.0004463772,0.001607407,0.0008945044,0.0004996369,0.0003091918,0.0001369268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102942,"about_ca_system_score_gemma":0.00004418143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003444834,"about_ca_topic_score_gemma":0.004441577,"domain_scores_codex":[0.9976478,0.00001730345,0.0003109413,0.0007763574,0.0007841637,0.0004634082],"domain_scores_gemma":[0.9992858,0.0001055662,0.0001843274,0.0002121092,0.00005298814,0.0001592089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002519446,0.00003041284,0.001490087,0.00004656849,0.00003750239,0.0001207636,0.002838423,0.002669044,0.005152148,0.975256,0.009580484,0.002753341],"study_design_scores_gemma":[0.001412419,0.0009826306,0.648634,0.0006844786,0.000193068,0.000524561,0.007056714,0.0004105773,0.001303778,0.1383194,0.1961521,0.004326262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0146547,0.00006341327,0.00006859632,0.002324698,0.000741632,0.0009346543,0.00001937948,0.0003288533,0.980864],"genre_scores_gemma":[0.5101734,0.0002560602,0.003819744,0.0002266891,0.00007669685,0.00007489726,0.00002681218,0.00003859515,0.4853071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8369366,"threshold_uncertainty_score":0.9461582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322378561065266,"score_gpt":0.2014499542986793,"score_spread":0.1882261686880267,"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."}}