{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695264,0.0001291342,0.0001963604,0.00001037366,0.0002523716,0.00001688542,0.0001910157,0.000121044,0.0002403448],"category_scores_gemma":[0.00004203189,0.00003975239,0.0001094872,0.000533661,0.000146949,0.00003293283,0.00008239474,0.00006972918,0.00003955372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001636507,"about_ca_system_score_gemma":0.000003651287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004039425,"about_ca_topic_score_gemma":0.002144234,"domain_scores_codex":[0.9990225,0.00005987932,0.0002233069,0.0002715173,0.0001630399,0.0002597082],"domain_scores_gemma":[0.9995996,0.00007358038,0.00009262979,0.00004273317,0.0001264345,0.00006505458],"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":[0.0000921638,0.00009518223,0.06721189,0.000005280951,0.0000289226,0.000001333325,0.0001134702,0.000001267556,0.8824156,0.0002324604,0.003890521,0.04591193],"study_design_scores_gemma":[0.0001016386,0.0007245786,0.8992109,0.00001586123,0.00001135007,0.000002171613,0.0001314118,0.000008049996,0.06157509,0.0003306946,0.03775347,0.0001347443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943457,0.0005792138,0.00001147855,0.0005604193,0.0001703399,0.0001555629,0.00001460704,0.00005380883,0.004108883],"genre_scores_gemma":[0.9980968,0.0001160821,0.0001916698,0.0001242643,0.0007695288,0.00001036472,0.000009613665,5.70837e-7,0.0006810783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8319991,"threshold_uncertainty_score":0.2631606,"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."}}