{"id":"W3033159831","doi":"10.36814/pgr.2018.23.08","title":"A trait collection of spring groat barley","year":2018,"lang":"en","type":"article","venue":"Genetičnì resursi roslin","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Spring (device); Trait; Species evenness; Agronomy; Horticulture; Geography; Species diversity; Ecology; Engineering","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":[0.0006228716,0.0008565521,0.0009220141,0.003058507,0.001211346,0.0006717379,0.0007557649,0.000277833,0.005489907],"category_scores_gemma":[0.0006122289,0.0003474597,0.0007177386,0.003778212,0.0002501465,0.0003444755,0.0007965356,0.0005952839,0.005370881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005128463,"about_ca_system_score_gemma":0.000836826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004527132,"about_ca_topic_score_gemma":0.008476282,"domain_scores_codex":[0.9992561,0.00008201457,0.0001303699,0.0002465655,0.0001991504,0.00008580786],"domain_scores_gemma":[0.9993802,0.00005610785,0.00006639718,0.0002153935,0.0001743124,0.0001075671],"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":[0.00158174,0.0003053113,0.0237305,0.0005736905,0.000161297,0.00138184,0.00091722,0.0006055647,0.8788833,0.0006555914,0.00975227,0.08145165],"study_design_scores_gemma":[0.0003173334,0.001313751,0.529681,0.0001185077,0.0004006012,0.005942102,0.0005549137,0.001237323,0.09257643,0.0004830068,0.3671989,0.0001762156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654381,0.001632486,0.05342929,0.0001466524,0.000252757,0.003682641,0.2669041,0.002242161,0.01732893],"genre_scores_gemma":[0.2125091,0.001070246,0.1006106,0.0001805241,0.000111845,0.003375948,0.6584958,0.001353191,0.02229287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005489907,"threshold_uncertainty_score":0.01836562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285803998163193,"score_gpt":0.210754224901389,"score_spread":0.1878961849197571,"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."}}