{"id":"W2343263042","doi":"10.1111/fwb.12769","title":"Surface water connectivity drives richness and composition of Arctic lake fish assemblages","year":2016,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alaska Department of Fish and Game; National Science Foundation","keywords":"Species richness; Ecology; Arctic; Colonisation; Habitat; Environmental science; Geography; Biology; Colonization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001520809,0.00008751909,0.0001515251,0.00001714936,0.00008558289,0.000003327188,0.00008456045,0.00006853013,0.001254596],"category_scores_gemma":[0.00001239333,0.00004613918,0.00001859009,0.00002385733,0.000521385,0.00009379684,0.0003062507,0.00003172957,0.00008565441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522333,"about_ca_system_score_gemma":6.300936e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006131374,"about_ca_topic_score_gemma":0.008907707,"domain_scores_codex":[0.9993395,0.00009915307,0.0001071748,0.000219564,0.00003386566,0.0002007279],"domain_scores_gemma":[0.9997512,0.00007726843,0.00003526748,0.0001077263,0.000006789916,0.00002171757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001772057,0.00003650428,0.8182372,0.000009766484,0.00002163046,0.000001811413,0.0001217347,0.000004934893,0.1782187,0.0001169189,0.003036005,0.0001770316],"study_design_scores_gemma":[0.000424559,0.0001580768,0.9052051,0.000009064255,0.00001894004,0.000003407356,0.00002054459,0.0000110361,0.07532748,0.003176601,0.01552255,0.0001226102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955157,0.00000544266,0.0003745035,0.002945979,0.0001165243,0.0001070801,0.00003182283,0.00002228899,0.0008806474],"genre_scores_gemma":[0.9989843,0.00004451617,0.0001596743,0.0003122606,0.00001098989,0.000008368075,0.00001419361,0.000004050997,0.0004615971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028912,"threshold_uncertainty_score":0.9996584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008795207987402673,"score_gpt":0.2173865397654995,"score_spread":0.2085913317780969,"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."}}