{"id":"W1975624292","doi":"10.1111/j.1574-6941.2012.01316.x","title":"Spatio-temporal niche partitioning of closely related picocyanobacteria clades and phycocyanin pigment types in Lake Constance (Germany)","year":2012,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universität Konstanz; Deutsche Forschungsgemeinschaft","keywords":"Biology; Picoplankton; Pelagic zone; Synechococcus; Ecology; Littoral zone; Water column; Temperature gradient gel electrophoresis; Cyanobacteria; Phytoplankton","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":[0.0005248424,0.0001939322,0.0004414184,0.0000766329,0.0001403019,0.000003954824,0.0002180582,0.0004440638,0.007598141],"category_scores_gemma":[0.00005652153,0.0001944181,0.00004499285,0.0001625047,0.001136597,0.0001370371,0.0003223181,0.0003843688,0.0002934651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008463486,"about_ca_system_score_gemma":0.00002474483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254251,"about_ca_topic_score_gemma":0.02247358,"domain_scores_codex":[0.9979829,0.0006781391,0.0004862533,0.0002796722,0.00002086053,0.0005522221],"domain_scores_gemma":[0.999149,0.0002705454,0.0002663777,0.0002334388,0.00001186591,0.00006880978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007514445,0.0001852714,0.7283946,0.000009026217,0.0000293556,0.000002723069,0.0006736361,0.0000364741,0.2686258,0.0005295245,0.001356936,0.00008144665],"study_design_scores_gemma":[0.0008622171,0.0002785347,0.9612405,0.00001471508,0.00002255522,0.0001018113,0.00008206054,0.00001384462,0.007793086,0.0008092512,0.02854041,0.0002410637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969232,0.0002061391,0.000004298051,0.0002544575,0.0004553254,0.0002511374,0.00005602138,0.00002511323,0.001824309],"genre_scores_gemma":[0.9986094,0.00008313936,0.0003278493,0.0004344747,0.00002395107,0.00002288739,0.0002855057,0.00001228994,0.0002005419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2608327,"threshold_uncertainty_score":0.9953637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238494682299182,"score_gpt":0.217440130527462,"score_spread":0.2082016358451629,"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."}}