{"id":"W1861389587","doi":"10.1139/f2011-076","title":"The distribution of the Chironomidae (Insecta: Diptera) along multiple environmental gradients in lakes and ponds of the eastern Canadian Arctic","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Nunavut Arctic College","keywords":"Chironomidae; Subfossil; Arctic; Tree line; Ecology; Trophic level; Range (aeronautics); Arctic ecology; Taxon; Tundra; Invertebrate; Environmental gradient; Arctic vegetation; Environmental science; Biology; Climate change; Oceanography; Habitat; Geology; Holocene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002971409,0.0002314987,0.0002998252,0.001707774,0.002424784,0.0007676189,0.0003008076,0.0001473517,0.0004804712],"category_scores_gemma":[0.0005845668,0.0002420438,0.0001867466,0.002070922,0.0008182715,0.0002456958,0.0005858085,0.0001634416,0.0000716476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004757541,"about_ca_system_score_gemma":0.004992282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9403043,"about_ca_topic_score_gemma":0.9856624,"domain_scores_codex":[0.9996289,0.00002526613,0.00001586549,0.00006051293,0.0001477885,0.0001216856],"domain_scores_gemma":[0.9995427,0.00003181215,0.00009091309,0.00001037182,0.0002177093,0.0001065564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007983459,0.00001773375,0.9827404,0.00004384248,0.00005367089,0.0001174404,0.002179046,0.0001582538,0.003854637,0.00005133552,0.0002221777,0.0104817],"study_design_scores_gemma":[7.268513e-7,0.00000546357,0.9992551,0.000003272671,0.000004924141,0.00002087528,0.0004570463,0.00005449948,0.0000487161,0.000005064724,0.0001418951,0.000002448477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992292,0.0001491445,0.00004739555,0.00001251437,0.000001068876,0.000004624029,0.0001633146,0.000002754088,0.0003900308],"genre_scores_gemma":[0.9990445,0.0002028282,0.0002026325,0.00001405694,0.000001340478,0.000004673644,0.0002328537,0.00000187728,0.0002952202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05969572,"threshold_uncertainty_score":0.1200945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279758393640728,"score_gpt":0.1519470774083748,"score_spread":0.1391494934719675,"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."}}