{"id":"W4416734333","doi":"10.1093/ismeco/ycaf223","title":"A cytometric framework to assess trends in the morphological structure of bacterioplankton communities along freshwater environmental gradients","year":2025,"lang":"en","type":"article","venue":"ISME Communications","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bureau de Coopération Interuniversitaire; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Cádiz; Hydro-Québec; European Commission","keywords":"Bacterioplankton; Dissolved organic carbon; Community structure; Range (aeronautics); Plankton; Aquatic ecosystem; Productivity; Water column","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002735641,0.000128885,0.000205879,0.0002472275,0.0003956498,0.00001851441,0.00263353,0.000159959,0.003806899],"category_scores_gemma":[0.00003804096,0.00009932316,0.00005609144,0.0009508072,0.0006669514,0.00007485371,0.00164314,0.0007205329,0.00004570727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009521288,"about_ca_system_score_gemma":0.000006067587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024275,"about_ca_topic_score_gemma":0.01621024,"domain_scores_codex":[0.9982432,0.001052474,0.0002837084,0.0001169212,0.0000905292,0.0002132105],"domain_scores_gemma":[0.9972063,0.0008461757,0.00007341216,0.001839765,0.000004101235,0.00003029337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009317817,0.001402377,0.8581201,0.00001185604,0.0000694968,0.000004845708,0.01826843,0.0006445716,0.101652,0.004863867,0.007924092,0.006945222],"study_design_scores_gemma":[0.0001708239,0.00008559911,0.9774024,0.0000199639,0.00001632361,0.000009557759,0.001253069,0.00007214605,0.0003931355,0.003207921,0.01725512,0.000113879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952469,0.00004944614,0.00009748619,0.00168755,0.00005753431,0.0001673823,0.0001767052,0.00001208194,0.002504925],"genre_scores_gemma":[0.9948624,0.00005981815,0.002952076,0.001612921,0.000003996014,0.00002751124,0.0003979501,0.000005161634,0.00007819685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192824,"threshold_uncertainty_score":0.9971038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890429017981905,"score_gpt":0.303343697078973,"score_spread":0.264439406899154,"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."}}