{"id":"W1924182525","doi":"10.21273/hortsci.41.4.1037c","title":"(51) Intermountain West Native and Adapted Grass Species and Their Management for Turfgrass Applications","year":2006,"lang":"en","type":"article","venue":"HortScience","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agronomy; Irrigation; Environmental science; Growing season; Geography; 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":[0.0002202609,0.0001323601,0.00009742221,0.00005810444,0.0002833911,0.0001030541,0.0001787142,0.00002115166,0.00007212262],"category_scores_gemma":[0.000005759813,0.0001069203,0.0000238164,0.0002520856,0.000424843,0.0002079611,0.0002306708,0.00003970177,0.00001285662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892838,"about_ca_system_score_gemma":0.000002852909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001397524,"about_ca_topic_score_gemma":0.0009143954,"domain_scores_codex":[0.9990104,0.00001443419,0.0001517958,0.0004270659,0.0001728068,0.0002234463],"domain_scores_gemma":[0.9996442,0.00004460852,0.00006603299,0.0001683478,0.00001067143,0.00006615418],"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":[0.00005284732,0.0004777315,0.0633122,0.0001231062,0.00005351319,0.00001268571,0.001851766,0.001604869,0.01539884,0.6660269,0.02230242,0.2287831],"study_design_scores_gemma":[0.0003378204,0.00005797253,0.6840451,0.0000102542,0.00001521545,0.000005068258,0.001771553,0.00399922,0.0005607808,0.01023416,0.298714,0.0002488195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259791,0.0002769669,0.6039169,0.00254821,0.0001866575,0.003613017,0.00006630571,0.0001995019,0.1294014],"genre_scores_gemma":[0.9910381,0.00006162601,0.004549329,0.0002290572,0.0000196323,0.0003173776,0.00001060526,0.000007411639,0.003766791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7312471,"threshold_uncertainty_score":0.4360081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008113105913723976,"score_gpt":0.2074359767382561,"score_spread":0.1993228708245321,"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."}}