{"id":"W1916160444","doi":"10.1139/b11-106","title":"Within-species leaf size–number trade-offs in herbaceous angiosperms","year":2012,"lang":"en","type":"article","venue":"Botany","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Herbaceous plant; Biology; Allometry; Meristem; Botany; Woody plant; Shoot; Vegetative reproduction; Leaf size; Competition (biology); Agronomy; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001295167,0.0001215451,0.0001620178,0.000002552179,0.0001169588,0.00002798646,0.0001191321,0.00006314897,0.0005694347],"category_scores_gemma":[0.00003307674,0.00004262679,0.00006567977,0.0001778512,0.0000485951,0.000120446,0.00004688836,0.00008983145,0.0001846091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000198685,"about_ca_system_score_gemma":0.000001613107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008663277,"about_ca_topic_score_gemma":0.002573679,"domain_scores_codex":[0.9991899,0.00002630489,0.0001439673,0.0001432068,0.0001360872,0.0003606081],"domain_scores_gemma":[0.9997318,0.0001316987,0.00003716172,0.00001737531,0.000006644028,0.00007532709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002879402,0.0001218262,0.718221,0.000002616116,0.00001133696,0.00001444891,0.0004542849,1.770972e-7,0.2715061,0.0009928674,0.004716587,0.003929898],"study_design_scores_gemma":[0.00007244798,0.00004537452,0.9243125,0.00001149939,0.000003709356,0.00001742227,0.0004635918,0.000001708637,0.0006806012,0.0001027085,0.07414439,0.0001440825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838585,0.001208121,7.090275e-8,0.0008720693,0.0001005765,0.00007496453,0.00001853202,0.00005297967,0.01381413],"genre_scores_gemma":[0.9968718,0.000133572,0.00003519882,0.000255996,0.0004554917,0.000006522188,0.000001220738,8.005962e-7,0.002239419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2708255,"threshold_uncertainty_score":0.623491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03871162913374706,"score_gpt":0.2154841814684922,"score_spread":0.1767725523347452,"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."}}