{"id":"W1965271647","doi":"10.1021/es070799f","title":"Effects of Monensin on Zooplankton Communities in Aquatic Microcosms","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Eli Lilly and Company","keywords":"Microcosm; Monensin; Zooplankton; Species richness; Biology; Abundance (ecology); Cladocera; Community structure; Ecology; Population; Animal science","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":[0.0001762433,0.0003101767,0.0004021295,0.0001813223,0.0003028045,0.0003931325,0.0001908263,0.0002807206,0.0005290908],"category_scores_gemma":[0.0004917826,0.0001813244,0.0001527813,0.0001673458,0.0002937157,0.0001860609,0.0003179192,0.0002502779,0.0000977114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801633,"about_ca_system_score_gemma":0.0004386218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005635222,"about_ca_topic_score_gemma":0.01458389,"domain_scores_codex":[0.9997388,0.00006759481,0.00002117253,0.0000666713,0.00005824848,0.00004747279],"domain_scores_gemma":[0.9995043,0.0001277588,0.0001080691,0.00002487599,0.0001175527,0.0001173736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002555865,0.0001453418,0.01547811,0.0001629646,0.00003913422,0.00008672376,0.0001227974,0.0003992138,0.9738573,0.00001647429,0.00004815612,0.007087901],"study_design_scores_gemma":[0.0001061372,0.009190283,0.3641958,0.00002795615,0.0001287057,0.0002311234,0.0005347466,0.002798891,0.62077,0.00006948256,0.001904492,0.000042359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990149,0.0002705132,0.0001771673,0.00002087915,0.000005080547,0.00002076342,0.0001434487,0.00001396851,0.0003333973],"genre_scores_gemma":[0.9974389,0.0003193037,0.001337273,0.0000588444,0.000005877185,0.00003120976,0.0001506809,0.000003826911,0.0006540957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005635222,"threshold_uncertainty_score":0.01120484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00866216345621761,"score_gpt":0.2506751906402439,"score_spread":0.2420130271840262,"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."}}