{"id":"W2949479795","doi":"10.1111/jeb.13184","title":"Grow with the flow: a latitudinal cline in physiology is associated with more variable precipitation in <i>Erythranthe cardinalis</i>","year":2017,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Cline (biology); Biology; Local adaptation; Adaptation (eye); Ecology; Latitude; Precipitation; Mediterranean climate; Variation (astronomy); Demography; Geography; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002250015,0.0001242454,0.0001390872,0.0003788065,0.000301332,0.0002834887,0.0001317971,0.000116492,0.0009261046],"category_scores_gemma":[0.0002364402,0.00009035738,0.0001171778,0.0003632429,0.0003108575,0.0001653399,0.0002680741,0.0002357885,0.00009813917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600532,"about_ca_system_score_gemma":0.0001031322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175394,"about_ca_topic_score_gemma":0.007724566,"domain_scores_codex":[0.9999137,0.00001771042,0.000006476625,0.0000405059,0.00001031878,0.00001124739],"domain_scores_gemma":[0.9998162,0.00003136989,0.00008053216,0.00002274946,0.00002355944,0.00002549476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002340021,0.00008175546,0.8266643,0.00006257097,0.0001275582,0.0001617397,0.001317065,0.0003049221,0.1560847,0.0001954361,0.0001500125,0.01461595],"study_design_scores_gemma":[0.000001865218,0.00001862627,0.9991291,0.000001674418,0.000006082543,0.00006217473,0.0001160676,0.0001042198,0.0003552304,0.0000273473,0.0001756227,0.000001997176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996055,0.00003246528,0.00008778692,0.000007501867,8.669437e-7,0.000001625888,0.00004628866,0.000003301566,0.0002146988],"genre_scores_gemma":[0.9996434,0.00001697991,0.0001216537,0.000008834007,0.00000124324,0.000002566134,0.0000770791,0.000001894641,0.0001262853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002175394,"threshold_uncertainty_score":0.004325449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939080734445858,"score_gpt":0.236829929422695,"score_spread":0.2074391220782364,"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."}}