{"id":"W2564031287","doi":"10.1007/s00244-016-0351-z","title":"Testing Local Adaptation in Five Populations of Hyalella azteca in Northern Alberta’s Oil Sands Region","year":2016,"lang":"en","type":"article","venue":"Archives of Environmental Contamination and Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; University of Calgary; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Lakehead University; Suncor Energy Incorporated; U.S. Environmental Protection Agency","keywords":"Hyalella azteca; Local adaptation; Population; Ecology; Ecotoxicology; Habitat; Oil sands; Biology; Wetland; Environmental science; Geography; Amphipoda; Asphalt; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005486133,0.0003730217,0.0003308204,0.001227128,0.002308309,0.0009753541,0.0011585,0.0004776578,0.0006222477],"category_scores_gemma":[0.0007126399,0.0002529885,0.0003019428,0.001362268,0.001358354,0.0002502884,0.00111205,0.0004708042,0.0001494808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006078389,"about_ca_system_score_gemma":0.001880019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.58685,"about_ca_topic_score_gemma":0.8456869,"domain_scores_codex":[0.999198,0.0001203714,0.00003427799,0.0002762011,0.0002040118,0.000167079],"domain_scores_gemma":[0.9993074,0.00009309843,0.0001003731,0.00006532102,0.0002958391,0.0001380219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001039755,0.0006912912,0.8630794,0.00006379583,0.0001642871,0.0006261476,0.01182545,0.001120394,0.09917244,0.0002235278,0.0002363447,0.02175718],"study_design_scores_gemma":[0.00001411247,0.0003035484,0.9871859,0.0000076849,0.0000427124,0.000165363,0.007259014,0.0004065991,0.003731773,0.00003728424,0.0008340894,0.00001194348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992744,0.00003363209,0.00008527932,0.000006689825,0.000001385568,0.00001562071,0.00006287539,0.000002780493,0.0005172642],"genre_scores_gemma":[0.9985272,0.00003886557,0.0004516922,0.00002605618,9.950724e-7,0.00002052528,0.0002760015,0.000002484097,0.0006562897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.41315,"threshold_uncertainty_score":0.8311661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624919778240706,"score_gpt":0.2174681971110801,"score_spread":0.201218999328673,"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."}}