{"id":"W1964600128","doi":"10.1002/j.2050-0416.2001.tb00086.x","title":"Floatation, a Bulk-Selection Method for Breeders which Permits the Selection of Faster Modifying Barley Grains","year":2001,"lang":"en","type":"article","venue":"Journal of the Institute of Brewing","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Malting (Canada)","funders":"","keywords":"Selection (genetic algorithm); Fraction (chemistry); Maturity (psychological); Mass fraction; Mathematics; Food science; Composition (language); Nitrogen; Agronomy; Biology; Chemistry; Computer science; Chromatography; Machine learning","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":[0.0006403124,0.0006027338,0.0004717004,0.0005076978,0.0005434932,0.0003926756,0.0005290313,0.0004891938,0.001843711],"category_scores_gemma":[0.0005797645,0.0002822614,0.0003463439,0.0001714641,0.0004471754,0.0004981316,0.0004539832,0.0008197462,0.001323409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475017,"about_ca_system_score_gemma":0.0002158679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401124,"about_ca_topic_score_gemma":0.003090422,"domain_scores_codex":[0.9997516,0.00004997897,0.00001875771,0.00008269629,0.0000667825,0.00003024713],"domain_scores_gemma":[0.9995189,0.0001476066,0.00009825466,0.0001057742,0.00007269261,0.00005679032],"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":[0.00002703952,0.00001374946,0.0002087838,0.00003801931,0.000007348082,0.00002007773,0.0000373928,0.00001997612,0.9935393,0.00006220784,0.0001426738,0.005883527],"study_design_scores_gemma":[0.00003050541,0.0008216765,0.01224729,0.00002864925,0.00008700423,0.0009444774,0.00005253784,0.001439409,0.967873,0.0001863952,0.01624589,0.00004319621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4501167,0.007701328,0.5293132,0.001119709,0.0005248372,0.0009396169,0.001045779,0.002341872,0.006896862],"genre_scores_gemma":[0.567195,0.00542719,0.4032181,0.0006065446,0.000203864,0.0008880472,0.001983557,0.0007221493,0.01975552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001843711,"threshold_uncertainty_score":0.006167889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793583041783503,"score_gpt":0.2708009377000647,"score_spread":0.2328651072822297,"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."}}