{"id":"W4401866952","doi":"10.1111/nph.20050","title":"Phenotypic limits of crop diversity: a data exploration of functional trait space","year":2024,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Trait; Biology; Phenotype; Functional diversity; Diversity (politics); Evolutionary biology; Space (punctuation); Phenotypic trait; Computational biology; Genetics; Ecology; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009200722,0.00005501234,0.00009448307,0.000009531772,0.00005951522,0.00001826217,0.0002044813,0.00004535756,0.000211266],"category_scores_gemma":[0.00002550964,0.00002295054,0.00003181197,0.0001745914,0.0000424253,0.0001303008,0.0001505953,0.00004881194,0.000008374769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003882138,"about_ca_system_score_gemma":0.00001237906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004787187,"about_ca_topic_score_gemma":0.0007387231,"domain_scores_codex":[0.9994997,0.00001387016,0.0001033312,0.0001732888,0.0001283364,0.00008147708],"domain_scores_gemma":[0.9997536,0.0000931531,0.00004328567,0.00005235973,0.00002689506,0.00003072062],"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":[0.000101546,0.00009558552,0.01330109,0.00008113484,0.000064322,0.000008155325,0.0003375553,0.000226686,0.6154659,0.009078837,0.0450255,0.3162137],"study_design_scores_gemma":[0.000517544,0.001261425,0.7384843,0.0002952099,0.0002055269,0.00002678802,0.001210526,0.00630417,0.03564941,0.02352075,0.191903,0.0006213344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919317,0.0009609701,0.0004986244,0.003414026,0.0004218993,0.00008727,0.0004378534,0.00003882531,0.002208876],"genre_scores_gemma":[0.9989572,0.00006293638,0.0001926195,0.00002007613,0.0002038317,4.32499e-7,0.0002285889,3.271904e-7,0.000334014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251832,"threshold_uncertainty_score":0.2313215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006348677057256,"score_gpt":0.2621438262114224,"score_spread":0.06150895850569682,"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."}}