{"id":"W3122818402","doi":"10.7591/cornell/9781501747953.003.0001","title":"Turfgrass in the Modern Environment","year":2020,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lawn; Perennial plant; Pasture; Forage; Geography; Livestock; Agroforestry; Agronomy; Recreation; Environmental science; Biology; Ecology; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007197953,0.0005365711,0.0001478104,0.0005135471,0.0009513471,0.001526352,0.0002179948,0.000451324,0.03505749],"category_scores_gemma":[0.00008512534,0.00008516862,0.0001206662,0.0007094983,0.0004411745,0.0006479479,0.0006282344,0.000566421,0.006589801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234591,"about_ca_system_score_gemma":0.0006615351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151918,"about_ca_topic_score_gemma":0.04541289,"domain_scores_codex":[0.9999524,0.000007030851,0.000001179888,0.000008686869,0.00001902163,0.00001161892],"domain_scores_gemma":[0.9999752,0.000004795479,0.000002551546,0.000002044871,0.000006016426,0.000009543689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001329094,0.00006346308,0.0008758485,0.0002867091,0.000004879268,0.0002999061,0.002367594,0.0002406562,0.0007142532,0.04490899,0.5498813,0.4003431],"study_design_scores_gemma":[2.819523e-7,0.000004119057,0.0006698663,0.0000411379,5.787874e-7,0.00006616084,0.0001130252,0.000006763442,0.00001144627,0.0004345042,0.9986513,8.560207e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006724447,0.1533786,0.0004646905,0.004113062,0.001964064,0.00001991023,0.0001850466,0.0001751465,0.8329751],"genre_scores_gemma":[0.02715281,0.07499047,0.001022953,0.002543827,0.001199822,0.00001855011,0.0002479566,0.00005370698,0.8927699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03505749,"threshold_uncertainty_score":0.117279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685046325681166,"score_gpt":0.1606962902877928,"score_spread":0.1238458270309812,"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."}}