{"id":"W2958394492","doi":"10.1101/705178","title":"Climate change negatively impacts dominant microbes in the sediments of a High Arctic lake","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa","funders":"Environment and Climate Change Canada; University of Toronto; University of Alberta; ArcticNet","keywords":"Watershed; Biogeochemical cycle; Climate change; Arctic; Environmental science; Ecosystem; Sediment; Surface runoff; Ecology; Physical geography; Geology; Geography; Biology; Geomorphology","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":[0.0001218138,0.0002571479,0.0002470232,0.0004295552,0.001068374,0.0007508837,0.0001180681,0.0001884277,0.0008105448],"category_scores_gemma":[0.0002031852,0.0001493608,0.0001743998,0.0006995798,0.0003486151,0.0001778223,0.0004491698,0.0002220094,0.0001080638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009191937,"about_ca_system_score_gemma":0.001310635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2286474,"about_ca_topic_score_gemma":0.3074419,"domain_scores_codex":[0.9998724,0.00001003618,0.00000604929,0.00003312053,0.00003176228,0.00004656339],"domain_scores_gemma":[0.9998921,0.00001059144,0.00002269856,0.000003977695,0.00003985474,0.00003085268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005188929,0.00008670967,0.4823636,0.0001152123,0.0001335775,0.0002887881,0.0009130308,0.001125271,0.5069277,0.000120049,0.0003944929,0.007012748],"study_design_scores_gemma":[0.000003726225,0.0000510929,0.987168,0.0000048283,0.00002711371,0.00005131127,0.0008885717,0.0007401354,0.01032535,0.00003693229,0.0006973944,0.000005585202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992053,0.00006566472,0.00008637929,0.0000271448,0.000002369219,0.000002139029,0.0003292583,0.000005731802,0.0002760499],"genre_scores_gemma":[0.998731,0.00007607216,0.0002619702,0.00003890473,0.000002208003,0.000002482979,0.000375321,0.000004422044,0.0005075121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286474,"threshold_uncertainty_score":0.4546331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644354278338046,"score_gpt":0.2230834025529032,"score_spread":0.2066398597695228,"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."}}