{"id":"W2283778935","doi":"10.3732/ajb.1500313","title":"Project Baseline: An unprecedented resource to study plant evolution across space and time","year":2016,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Department of Energy; National Park Service; University of California, Santa Barbara; U.S. Forest Service; National Science Foundation","keywords":"Biology; Baseline (sea); Microevolution; Resource (disambiguation); Range (aeronautics); Population; Evolutionary biology; Ecology; Demography; Computer science","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":[0.0003096861,0.00008621396,0.0001370139,0.00003760268,0.0000669798,0.0000173239,0.0001221331,0.0000284388,0.00001104276],"category_scores_gemma":[0.00007223125,0.00006041009,0.0000339521,0.0001001221,0.00006626057,0.000006232735,0.00006095894,0.00004349987,0.000003293317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001399967,"about_ca_system_score_gemma":0.00003302608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002566702,"about_ca_topic_score_gemma":0.00001803722,"domain_scores_codex":[0.9992483,0.0001584801,0.0001620209,0.000152339,0.000145258,0.0001335505],"domain_scores_gemma":[0.9994488,0.00001156436,0.0001759017,0.0001461223,0.00009833697,0.0001192306],"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":[0.001817805,0.0001953731,0.1622505,0.000002712325,0.0001952222,0.00002674636,0.00201156,0.00007120056,0.7776841,0.00001052808,0.005044657,0.05068961],"study_design_scores_gemma":[0.0050919,0.02102425,0.8039538,0.0001008818,0.0001835646,0.0009789797,0.02500919,0.00006267711,0.02926357,0.00005955801,0.1134688,0.0008028869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971507,0.00005503119,0.002205972,0.0003793123,0.00003542641,0.0001055524,0.00004096463,0.000003336188,0.00002370889],"genre_scores_gemma":[0.9983588,0.00001291713,0.001113066,0.0001374446,0.0001329732,6.143305e-7,0.000002777424,0.000007341344,0.0002339982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484205,"threshold_uncertainty_score":0.2463452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007970174281432981,"score_gpt":0.2646677413582398,"score_spread":0.2566975670768069,"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."}}