{"id":"W4392866980","doi":"10.1002/ecs2.4785","title":"Geographic gradients in a functional trait: Drivers of body size and size diversity of ground invertebrate communities","year":2024,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"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":"Invertebrate; Ecology; Trait; Diversity (politics); Functional diversity; Bergmann's rule; Biology; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001253246,0.00006624412,0.0001166808,0.00001260272,0.0001273753,0.000005031489,0.00007892313,0.00004273085,0.001880913],"category_scores_gemma":[0.00002087319,0.000065106,0.00003191497,0.0001825396,0.0004297739,0.0001514052,0.0002527343,0.00009783955,0.00001693182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003172786,"about_ca_system_score_gemma":0.000005818799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019901,"about_ca_topic_score_gemma":0.02961314,"domain_scores_codex":[0.9995552,0.00004300642,0.0001206453,0.0000982922,0.00008892225,0.00009393774],"domain_scores_gemma":[0.9996036,0.000268243,0.00003671686,0.00006286429,0.000007402302,0.00002119282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001413942,0.00005613596,0.9930884,0.00004584386,0.00005023169,0.000003636387,0.004797863,0.0003783907,0.00008901289,0.0008033952,0.0004817672,0.0001911852],"study_design_scores_gemma":[0.0002576478,0.00004519079,0.9862154,0.00002235513,0.00001698331,0.000001432274,0.001703245,0.007250375,0.000005778341,0.004389269,0.00003404453,0.00005832221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943593,0.0001581582,0.00001727785,0.00007514797,0.0001025477,0.00006465214,0.00001883026,0.00001061388,0.005193501],"genre_scores_gemma":[0.9991673,0.0001471427,0.0000991284,0.00004181918,0.000002597029,0.000003112139,0.000002903579,0.000003075976,0.0005328925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02762304,"threshold_uncertainty_score":0.9990315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009357368439823922,"score_gpt":0.1951935515739801,"score_spread":0.1858361831341562,"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."}}