{"id":"W6964968690","doi":"10.26191/rdtf-4v69","title":"Bioassessment of freshwater lentic wetlands using the reference condition approach","year":2021,"lang":"en","type":"article","venue":"University of Canberra Research Portal","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lake ecosystem; Wetland; Hydrology (agriculture); Water quality; Ecosystem","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":[0.001342979,0.0003419787,0.000344667,0.003049636,0.0004429262,0.0009854387,0.0004353997,0.0002458643,0.0008513514],"category_scores_gemma":[0.001883976,0.0001670402,0.0004535046,0.001467273,0.0002809704,0.0004970481,0.0007617783,0.0002436209,0.0002673411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007516329,"about_ca_system_score_gemma":0.001176535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735715,"about_ca_topic_score_gemma":0.0495629,"domain_scores_codex":[0.9988927,0.000205004,0.00007175533,0.0002347958,0.000536545,0.00005909467],"domain_scores_gemma":[0.9991978,0.0000944016,0.0002277229,0.00006631506,0.0003541159,0.00005962465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001684351,0.000259465,0.6886677,0.0002047974,0.0002641403,0.0001726708,0.0009035334,0.01195622,0.05249829,0.001468941,0.002424661,0.2410111],"study_design_scores_gemma":[0.00001525891,0.0004766562,0.9293616,0.00006939247,0.00007564091,0.0002708469,0.0006753783,0.05607483,0.00869105,0.0007911522,0.003437069,0.00006101031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556872,0.0001723616,0.03784391,0.00004690677,0.000008929198,0.0003305339,0.0009177299,0.0001674603,0.004824988],"genre_scores_gemma":[0.9090574,0.0002212615,0.08708837,0.00003245847,0.000009295987,0.0003194356,0.001329472,0.00001721675,0.001925048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735715,"threshold_uncertainty_score":0.03451222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335449503071323,"score_gpt":0.2968628823972657,"score_spread":0.2435083873665525,"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."}}