{"id":"W2396144324","doi":"10.1002/ecs2.1350","title":"Convergent diversity and trait composition in temporary streams and ponds","year":2016,"lang":"en","type":"article","venue":"Ecosphere","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; Rural Development Administration","keywords":"Species richness; Ecology; STREAMS; Invertebrate; Habitat; Ecosystem; Biodiversity; Biology; Perennial stream","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006178759,0.0000635399,0.00007745314,0.000007746662,0.0001778559,0.000006475026,0.00006438156,0.00004852202,0.00793608],"category_scores_gemma":[0.000002222496,0.00005017861,0.00001118596,0.00003642112,0.000148127,0.0002339876,0.0005753746,0.00003441553,0.0002666329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005799202,"about_ca_system_score_gemma":0.000001813553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007608833,"about_ca_topic_score_gemma":0.002932785,"domain_scores_codex":[0.9995463,0.00002517884,0.00006127042,0.0001804232,0.0000559034,0.0001308794],"domain_scores_gemma":[0.9998314,0.00001614033,0.00002632142,0.00005628929,0.000001344245,0.00006855373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003028592,0.00003692487,0.9790562,0.000004551063,0.000004564139,0.00002916207,0.0004028921,0.000004945562,0.001976965,0.0000498202,0.01505761,0.003346021],"study_design_scores_gemma":[0.0008747053,0.00009017855,0.9956685,0.000009311028,0.000005064477,0.000008427247,0.0001489992,0.0004036899,0.000711529,0.0009346859,0.001029982,0.0001149263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930174,0.00002606503,0.00001524541,0.0005555689,0.00004800003,0.0000652798,0.0000168781,0.00001325153,0.00624229],"genre_scores_gemma":[0.9988428,0.00003972793,0.00004725615,0.0002212379,0.000005053755,8.621784e-7,0.000003335988,0.000002417442,0.0008372537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01661225,"threshold_uncertainty_score":0.9929708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008715355732899525,"score_gpt":0.1691010459326814,"score_spread":0.1603856901997819,"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."}}