{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002939148,0.0000781553,0.0001339603,0.00006606821,0.0002048003,0.00001210135,0.0002586439,0.00005087928,0.004790867],"category_scores_gemma":[0.0000104862,0.0000632549,0.00005958354,0.0003090061,0.0008246573,0.0001252424,0.0003844076,0.0001710037,0.00001196287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269286,"about_ca_system_score_gemma":0.0001208073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004009907,"about_ca_topic_score_gemma":0.00497471,"domain_scores_codex":[0.9985517,0.0001690022,0.000124084,0.0002328904,0.000672594,0.0002497341],"domain_scores_gemma":[0.9994131,0.00003870416,0.00007304694,0.0003229378,0.00007528521,0.00007696081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002814654,0.001287707,0.6625486,0.0002055858,0.0005507229,0.0008349461,0.0058659,0.004015756,0.3065695,0.003644526,0.009502922,0.004692371],"study_design_scores_gemma":[0.009832355,0.001356938,0.4452282,0.0004692614,0.0006978802,0.0006980177,0.1281163,0.03692261,0.3180954,0.002867456,0.05422075,0.001494747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971114,0.00001330478,0.0002370937,0.0001016831,0.00002482836,0.0001488985,0.00008232807,0.000006640265,0.02827125],"genre_scores_gemma":[0.9959018,0.00002058085,0.00242783,0.000002922238,0.00000588921,3.579034e-7,0.0001017785,0.000004763046,0.001534091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173204,"threshold_uncertainty_score":0.9961189,"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."}}