{"id":"W1971269630","doi":"10.4141/p05-087","title":"Haida-VR orchardgrass","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lethbridge College","funders":"","keywords":"Dactylis glomerata; Cultivar; Temperate climate; Biology; Hay; Agronomy; Inoculation; Horticulture; Botany; Poaceae","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002882251,0.0004491613,0.0004649273,0.0003286917,0.0008367447,0.0004313115,0.0005551161,0.0002242151,0.003526036],"category_scores_gemma":[0.0001926003,0.0001659726,0.0002080681,0.0002839732,0.0002273518,0.000229494,0.0003812383,0.0006029251,0.0003335426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134387,"about_ca_system_score_gemma":0.0009809321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04161897,"about_ca_topic_score_gemma":0.209418,"domain_scores_codex":[0.9995282,0.00004076915,0.00002669668,0.0001609096,0.0001563679,0.00008715726],"domain_scores_gemma":[0.9995702,0.0000407073,0.00003788921,0.00003360161,0.00009627156,0.000221355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001230601,0.0009073775,0.02447861,0.0001606165,0.0000720714,0.0002651357,0.0001776767,0.0001498657,0.9491813,0.0002885518,0.001064187,0.02202394],"study_design_scores_gemma":[0.0004668473,0.01533838,0.6904424,0.00003105325,0.00020287,0.00118977,0.0005373489,0.001568578,0.2442917,0.000139773,0.04571048,0.00008075137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993541,0.0001496191,0.0008127723,0.00002966373,0.00003378334,0.0002525214,0.0007502708,0.00009045791,0.004339823],"genre_scores_gemma":[0.9632789,0.0002489234,0.007977651,0.0001928466,0.0000102584,0.0001775018,0.003822269,0.00005341244,0.02423833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04161897,"threshold_uncertainty_score":0.08275342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007252599423853924,"score_gpt":0.1774919899704884,"score_spread":0.1702393905466345,"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."}}