{"id":"W3083570102","doi":"10.1111/mec.15623","title":"Thermal stratification and fish thermal preference explain vertical eDNA distributions in lakes","year":2020,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Manitoba Beekeepers' Association; International Institute for Sustainable Development; Queen's University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Biology; Thermal stratification; Preference; Fish <Actinopterygii>; Stratification (seeds); Fishery; Ecology; Statistics; Thermal energy storage","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":[],"consensus_categories":[],"category_scores_codex":[0.00005169589,0.00009013715,0.00009724353,0.000008487175,0.00008802608,0.00001074392,0.0001271035,0.00006632416,0.0005650732],"category_scores_gemma":[0.00004774418,0.00009156386,0.00001899474,0.00007508077,0.000321406,0.00007760955,0.0002436767,0.0001075888,0.0001755714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007382545,"about_ca_system_score_gemma":0.000002259855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002907663,"about_ca_topic_score_gemma":0.0001336087,"domain_scores_codex":[0.9992532,0.00008129526,0.000109613,0.0002711364,0.00009463757,0.0001901431],"domain_scores_gemma":[0.9997843,0.00003171321,0.00001778915,0.00009387014,0.00000145213,0.00007090344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001710988,0.0000752445,0.8065251,0.000003376203,0.000008743533,0.0000308606,0.0005220356,0.0003932072,0.1912876,0.0002074335,0.0002730398,0.0006562392],"study_design_scores_gemma":[0.0002298401,0.00009964732,0.9857137,0.00000121487,0.000009351781,9.860647e-7,0.0001345237,0.0004546906,0.0129018,0.00005991488,0.0002956079,0.00009868581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944195,0.00001591052,0.000192212,0.003649841,0.00001979926,0.0001642688,0.00002193737,0.00001735387,0.001499197],"genre_scores_gemma":[0.9987334,0.00001116413,0.0004112298,0.0007802026,0.000005760885,0.00001952456,0.0000239504,0.000003837759,0.00001095658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1791886,"threshold_uncertainty_score":0.6187155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765482465365738,"score_gpt":0.2007926265998727,"score_spread":0.1831378019462153,"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."}}