{"id":"W1839347556","doi":"10.1139/cjb-2014-0075","title":"Temperature is the major driver of distribution patterns for C<sub>4</sub> and C<sub>3</sub> BEP grasses along tropical elevation gradients in Hawai‘i, and comparison with worldwide patterns","year":2014,"lang":"en","type":"article","venue":"Botany","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Transect; Dominance (genetics); Precipitation; Temperate climate; Atmospheric sciences; Biology; Climate change; Ecology; Physical geography; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001461768,0.0001406021,0.0001962772,0.00002313327,0.0002075595,0.00002372854,0.0000765845,0.00007882035,0.000005580018],"category_scores_gemma":[0.00004056436,0.0001007659,0.0000269389,0.0001035973,0.000201288,0.0001342593,0.00006888938,0.0001291257,0.000002914449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362,"about_ca_system_score_gemma":0.000003865344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005357338,"about_ca_topic_score_gemma":0.01593451,"domain_scores_codex":[0.9990904,0.00006816169,0.0002272233,0.0002720065,0.0001393685,0.000202788],"domain_scores_gemma":[0.9995096,0.0001808319,0.0001277004,0.0001208503,0.00001967185,0.00004139666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004879648,0.00006282612,0.9844619,0.00002384688,0.00002038256,6.891389e-7,0.0003008187,0.00003084975,0.0134012,0.0002640243,0.0001604228,0.001224225],"study_design_scores_gemma":[0.0007512338,0.0001508935,0.986568,0.00003789517,0.00004488647,0.000002559076,0.0001445912,0.002507159,0.009205477,0.0004387043,0.00002680636,0.0001218374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939975,0.00003522413,0.004844886,0.0006220754,0.00004560839,0.0003588901,0.00007640398,0.000008553135,0.00001086336],"genre_scores_gemma":[0.9995794,0.00006720309,0.00006341981,0.0001701482,0.00001724852,0.00006020021,0.00002587191,0.000008420825,0.000008093274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01588094,"threshold_uncertainty_score":0.8891832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005878025607660472,"score_gpt":0.2134966821000597,"score_spread":0.2076186564923992,"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."}}