{"id":"W2290051967","doi":"10.1071/mf15329","title":"The imperative need for nationally coordinated bioassessment of rivers and streams","year":2016,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Sustainability; Environmental resource management; Environmental planning; Water quality; Scale (ratio); STREAMS; Business; Environmental monitoring; Ecology; Geography; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005389526,0.00004428072,0.00005788008,0.0000282335,0.0003300064,0.0000157364,0.0000794112,0.00001937072,0.0002803063],"category_scores_gemma":[0.00005817269,0.0000213553,0.000009246199,0.00006057402,0.0006774646,0.00006768737,0.0005940006,0.00003551808,0.00000618508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647019,"about_ca_system_score_gemma":0.000003899797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004282587,"about_ca_topic_score_gemma":0.01176311,"domain_scores_codex":[0.9994591,0.00004679144,0.00007315074,0.0001298353,0.0001219534,0.0001692001],"domain_scores_gemma":[0.9995569,0.0003071994,0.00001555894,0.00006562033,0.00003031895,0.00002439455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001489561,0.00004936206,0.8743497,0.00001516329,0.00008688441,0.000001984758,0.0002419608,0.000001201364,0.003030768,0.007063395,0.06388189,0.05112879],"study_design_scores_gemma":[0.002108847,0.0007738953,0.808244,0.00001156809,0.00001498291,0.000001159792,0.0008300606,0.0007620155,0.004621365,0.03105642,0.1514335,0.0001421662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709778,0.00001514907,0.0001327253,0.01612105,0.00002797174,0.0005118296,0.00002837958,0.000007254961,0.01217786],"genre_scores_gemma":[0.9886039,0.0002889867,0.0002803602,0.00005087641,0.000007803139,0.00007699458,0.000003901027,0.000003105386,0.01068407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08755158,"threshold_uncertainty_score":0.656409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329852244378254,"score_gpt":0.3006732665142354,"score_spread":0.2773747440704528,"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."}}