{"id":"W1985279331","doi":"10.2135/cropsci2004.0161","title":"Responses to Divergent Phenotypic Selection for Fiber Traits in Timothy","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Neutral Detergent Fiber; Biology; Population; Biomass (ecology); Forage; Lignin; Fiber; Phenotypic trait; Animal science; Selection (genetic algorithm); Agronomy; Cellulose; Botany; Phenotype; Chemistry; Biochemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237238,0.00006082922,0.00007374551,0.00003366896,0.0002941321,0.00004904499,0.0001901073,0.00002576888,0.0002803282],"category_scores_gemma":[0.0001555546,0.00002550561,0.00002694274,0.0007066207,0.0001536269,0.0001538274,0.00003659883,0.00003239999,0.0001453147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004797057,"about_ca_system_score_gemma":0.00002171097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003908039,"about_ca_topic_score_gemma":0.0002694637,"domain_scores_codex":[0.9992352,0.00002253665,0.0001011261,0.0002728068,0.0001084676,0.0002598608],"domain_scores_gemma":[0.9996988,0.00009144973,0.00002205446,0.00001955561,0.00007875896,0.00008935552],"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":[0.0001175383,0.00008048111,0.002094696,0.000001209082,3.512017e-7,1.446447e-7,0.00008201075,0.00007033339,0.9156886,0.0005006606,0.001425353,0.07993859],"study_design_scores_gemma":[0.0001271878,0.000310787,0.8641084,0.000008806226,0.00000100332,0.000001810998,0.00003763542,0.0002761738,0.037741,0.0003441796,0.09693505,0.0001079792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954665,0.00002229708,0.00001849329,0.003739955,0.00004758293,0.0002093932,0.00001267705,0.00002659847,0.0004565225],"genre_scores_gemma":[0.9968545,0.000003105868,0.0009552078,0.0006507158,0.000121971,0.00003242106,0.000002342671,3.296068e-7,0.001379338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8779476,"threshold_uncertainty_score":0.3069398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316728055329143,"score_gpt":0.2778119340547212,"score_spread":0.2446446535014298,"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."}}