{"id":"W7054487477","doi":"","title":"The abundance, biomass and composition of pelagic ciliates in East African lakes of different salinity and trophy","year":2014,"lang":"en","type":"article","venue":"AquaDocs  (United Nations Educational, Scientific and Cultural Organization)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ciliate; Biomass (ecology); Abundance (ecology); Trophic level; Temperate climate; Plankton; Salinity; Chlorophyll a","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934797,0.0002769547,0.0001941572,0.0008754348,0.0006372684,0.0003627846,0.000123828,0.0002459684,0.0006062617],"category_scores_gemma":[0.0005589579,0.000269093,0.0001687227,0.0007331427,0.0004206833,0.0004547513,0.0004039717,0.0001095775,0.0001059761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005787233,"about_ca_system_score_gemma":0.0002848898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02188907,"about_ca_topic_score_gemma":0.04716149,"domain_scores_codex":[0.9998786,0.000018411,0.00001265648,0.00002406152,0.00002176499,0.00004437712],"domain_scores_gemma":[0.9997538,0.00004220372,0.000102078,0.000008666428,0.00004724502,0.0000460753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001994245,0.00002325044,0.9770735,0.00003314827,0.00004084191,0.0002855752,0.001514591,0.00009425358,0.01564584,0.00003021652,0.00003018979,0.005029219],"study_design_scores_gemma":[0.000001905485,0.00004570295,0.9986672,0.000003051238,0.0000104064,0.0001071542,0.0004837709,0.0001371976,0.0004127471,0.000007055088,0.0001215284,0.000002223403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999867,0.00004149602,0.00001407649,0.000002514635,1.682309e-7,9.360596e-7,0.00002701256,2.986556e-7,0.00004648411],"genre_scores_gemma":[0.9995448,0.0001015036,0.0001088476,0.000006152741,9.896186e-7,0.000003734995,0.00009722933,6.3389e-7,0.0001362298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02188907,"threshold_uncertainty_score":0.04352331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008155976131937031,"score_gpt":0.2017557247868147,"score_spread":0.1935997486548777,"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."}}