{"id":"W3040625440","doi":"10.1007/978-1-0716-0660-5_6","title":"A Whole-Plant Screening Test to Select Freezing-Tolerant and Low-Dormant Genotypes","year":2020,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Freezing tolerance; Biology; Perennial plant; Genotype; Cultivar; Population; Horticulture; Dormancy; Persistence (discontinuity); Botany; Agronomy; Germination; Demography; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002060053,0.000518843,0.0003508111,0.0004029411,0.0002349353,0.0001728266,0.0003661546,0.0004059728,0.00211955],"category_scores_gemma":[0.0002172329,0.0001612393,0.0003842104,0.0002966741,0.0001384184,0.0001727448,0.0002536935,0.0005019394,0.0004621179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714188,"about_ca_system_score_gemma":0.0002217986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235753,"about_ca_topic_score_gemma":0.002600891,"domain_scores_codex":[0.9998293,0.00001956662,0.00001296053,0.00006188042,0.00004080792,0.00003553517],"domain_scores_gemma":[0.999713,0.00008375152,0.00004137106,0.00002306042,0.00004704051,0.00009178247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005297572,0.00005808752,0.0006528418,0.00001245607,0.000004299847,0.0000188805,0.00001284658,0.00001946586,0.9984481,0.000009541354,0.00002337065,0.000687162],"study_design_scores_gemma":[0.00005925128,0.003846572,0.09179897,0.000008330345,0.00013779,0.000505555,0.0001133135,0.001786605,0.9001272,0.00006096363,0.001527558,0.00002802518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9879693,0.0001594727,0.009382145,0.00005583628,0.00002476628,0.0001599455,0.001167657,0.0002170374,0.0008639021],"genre_scores_gemma":[0.9679949,0.0002258671,0.01889496,0.0001907161,0.000009597343,0.0003181715,0.005371526,0.0001158034,0.006878553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00211955,"threshold_uncertainty_score":0.007090569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157385976189466,"score_gpt":0.316313635837641,"score_spread":0.2947397760757464,"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."}}