{"id":"W2550042492","doi":"10.1111/1462-2920.13593","title":"Contribution of different dispersal sources to the metabolic response of lake bacterioplankton following a salinity change","year":2016,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biology; Biological dispersal; Bacterioplankton; Mesocosm; Salinity; Ecology; Alphaproteobacteria; Emiliania huxleyi; Phytoplankton; Ecosystem; Bacteria; 16S ribosomal RNA; Nutrient; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000483061,0.0001739432,0.0003659398,0.00003700189,0.0001338759,0.000001973856,0.0004168256,0.0001470054,0.003746834],"category_scores_gemma":[0.00007408257,0.00009973651,0.0001488871,0.00006520248,0.0006472804,0.0000615029,0.0005764162,0.0001177492,0.0002687084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510458,"about_ca_system_score_gemma":0.000003889919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008619108,"about_ca_topic_score_gemma":0.00187491,"domain_scores_codex":[0.9981301,0.0009616903,0.0003096622,0.0002440348,0.00004679876,0.0003077463],"domain_scores_gemma":[0.9989574,0.0004315618,0.0001702355,0.000381684,0.00000189208,0.00005722639],"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":[0.0006233426,0.0001334898,0.1241033,0.000001120087,0.00004034944,8.6955e-7,0.0006902801,0.000002058468,0.8735172,0.00002116295,0.0001505393,0.0007162471],"study_design_scores_gemma":[0.0005878378,0.0004167217,0.6989788,0.00001339668,0.0000364811,0.0000126081,0.00007174436,8.599982e-7,0.2681049,0.00003631958,0.03160697,0.0001333212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979386,0.00008366695,0.0000678205,0.0008639045,0.0002183491,0.0003711977,0.0004286319,0.000009468685,0.00001837616],"genre_scores_gemma":[0.9992678,0.00005544924,0.00002787114,0.0004073866,0.00002846768,0.00002911208,0.00009291623,0.000009943096,0.00008103858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6054123,"threshold_uncertainty_score":0.9971639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00929381725040714,"score_gpt":0.2113002084571892,"score_spread":0.2020063912067821,"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."}}