{"id":"W2978795284","doi":"10.3390/environments6100111","title":"Impact of Zirconium on Freshwater Periphytic Microorganisms","year":2019,"lang":"en","type":"article","venue":"Environments","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; LabEx COTE; Canada Research Chairs","keywords":"Periphyton; Autotroph; Algae; Biofilm; Cyanobacteria; Ciliate; Biology; Green algae; Chlorophyta; Microorganism; Ecology; Environmental chemistry; Botany; Chemistry; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000217588,0.0004450222,0.0004547134,0.000326773,0.0004285574,0.0005749601,0.0003090141,0.0005303725,0.001071961],"category_scores_gemma":[0.0004406817,0.000212996,0.0004191773,0.0002057432,0.000363864,0.0002040214,0.0006414934,0.0002443525,0.0001529287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127777,"about_ca_system_score_gemma":0.0004349496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00535738,"about_ca_topic_score_gemma":0.006834331,"domain_scores_codex":[0.9995859,0.00008443219,0.00003072345,0.00009218921,0.0001089167,0.00009777126],"domain_scores_gemma":[0.999826,0.00004145991,0.00005004498,0.00001307975,0.00004818023,0.00002131379],"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":[0.0006043406,0.00002790616,0.005153038,0.0003725756,0.00005597598,0.0001324331,0.0001225994,0.0005150348,0.9864143,0.0001124815,0.0001046764,0.006384686],"study_design_scores_gemma":[0.00006343333,0.003598908,0.06517269,0.00008595028,0.0002291251,0.0004040326,0.0007979841,0.001110587,0.9190306,0.0002838864,0.009182547,0.00004027963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949442,0.002199003,0.001000868,0.0001067066,0.00003971641,0.00002467676,0.0002054618,0.00002460907,0.001454764],"genre_scores_gemma":[0.9971341,0.0009155391,0.0008908581,0.00007675931,0.000009041322,0.00001263752,0.0001385383,0.000007444064,0.0008150351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00535738,"threshold_uncertainty_score":0.01065242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004530456136404822,"score_gpt":0.1890026574592189,"score_spread":0.1844722013228141,"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."}}