{"id":"W4321482756","doi":"10.1007/s42995-022-00159-6","title":"Deciphering microeukaryotic–bacterial co-occurrence networks in coastal aquaculture ponds","year":2023,"lang":"en","type":"article","venue":"Marine Life Science & Technology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute of Environmental Health Sciences; Natural Science Foundation of Ningbo; National Natural Science Foundation of China","keywords":"Aquaculture; Biology; Ecology; Ecosystem; Keystone species; Environmental science; Fishery; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310839,0.0004446817,0.0006434329,0.00343808,0.000711046,0.0008676114,0.0004074882,0.0004965811,0.001037123],"category_scores_gemma":[0.002679678,0.000250129,0.0006207068,0.002936754,0.0004228123,0.001107144,0.001376009,0.0004124962,0.0003218613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004615009,"about_ca_system_score_gemma":0.0005781788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241491,"about_ca_topic_score_gemma":0.007549649,"domain_scores_codex":[0.9992311,0.0001480613,0.00006172519,0.0002868842,0.0001205077,0.0001516882],"domain_scores_gemma":[0.998858,0.0003511187,0.000353825,0.00007855624,0.0001961794,0.0001623974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002055694,0.00008691515,0.8916624,0.0006828287,0.0006111143,0.0005033211,0.001398024,0.0107919,0.05406116,0.001432272,0.001981123,0.03658349],"study_design_scores_gemma":[0.00001236509,0.00008293621,0.9254447,0.00009616825,0.0002496078,0.0002875197,0.0015799,0.05892406,0.003775938,0.003671906,0.005820835,0.0000542082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875289,0.0008940679,0.007273599,0.00009208151,0.00001448987,0.00001838161,0.002821307,0.0001142074,0.001242873],"genre_scores_gemma":[0.9892684,0.0003041351,0.005245458,0.00006834303,0.00001449241,0.00004237615,0.004677074,0.00002821972,0.0003515419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004241491,"threshold_uncertainty_score":0.00843364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009782558255644948,"score_gpt":0.2480741180328578,"score_spread":0.2382915597772129,"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."}}