{"id":"W7034953179","doi":"","title":"Who is the better candidate? Macroinvertebrates and diatoms for ecological status assessment of Sava Lake (Serbia)","year":2021,"lang":"en","type":"article","venue":"CER (University of Belgrade, Institute of Chemistry, Technology and Metallurgy)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Institut für Gewässerökologie und Binnenfischerei; Universität Innsbruck; Uppsala Universitet; Bulgarian Academy of Sciences; Università degli Studi di Torino; Université de Genève; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Universitat de Barcelona; Umeå Universitet; Sveriges Lantbruksuniversitet; Leibniz-Gemeinschaft; Universidade de Lisboa; Universitat de Girona; Canadian Institute for Advanced Research; Universidade do Porto; Bournemouth University","keywords":"Nucleofection; Exclosure; Limiting; Gestational period","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001588924,0.0003660045,0.0004236725,0.0008565852,0.00064576,0.0008003017,0.000214964,0.0004218247,0.00209204],"category_scores_gemma":[0.002019227,0.0001989521,0.0002472237,0.0004237199,0.0002610937,0.0006325551,0.0005220775,0.0003665909,0.0007300131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665823,"about_ca_system_score_gemma":0.0006990989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006978838,"about_ca_topic_score_gemma":0.02282005,"domain_scores_codex":[0.9995219,0.000258495,0.00003886879,0.00005098382,0.0000428304,0.00008708592],"domain_scores_gemma":[0.999495,0.00006604613,0.000137798,0.00001943648,0.0001168342,0.0001646972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001611883,0.0001037719,0.9124659,0.0002496217,0.0000763025,0.000742483,0.002130729,0.0001040634,0.0009775241,0.0002384677,0.006641483,0.07610852],"study_design_scores_gemma":[0.00001820142,0.0003837962,0.9626876,0.0007931158,0.0001143131,0.001707249,0.01337389,0.001006942,0.0005379639,0.0004533909,0.01887876,0.0000448091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804552,0.009489082,0.001024442,0.002983003,0.0001585428,0.00008498291,0.0009025199,0.00002534295,0.00487692],"genre_scores_gemma":[0.9913782,0.003340223,0.002559884,0.0004574421,0.00006623895,0.0000840273,0.0005369232,0.000008611594,0.001568553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006978838,"threshold_uncertainty_score":0.01387644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208697321664465,"score_gpt":0.2089632164602464,"score_spread":0.1968762432436018,"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."}}