{"id":"W4378651786","doi":"10.23818/limn.43.08","title":"Longitudinal patterns in water quality and fish assemblage structure in a low-gradient, temperate Neotropical stream disrupted by a point-source urban effluent","year":2023,"lang":"en","type":"article","venue":"Limnetica","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión de Investigaciones Científicas; Universidad Nacional del Centro de la Provincia de Buenos Aires; Acadia University","keywords":"Water quality; STREAMS; Ecology; Habitat; Environmental science; Ecoregion; Freshwater ecosystem; Urban stream; Temperate climate; Abundance (ecology); Assemblage (archaeology); Drainage basin; Urbanization; Effluent; Ecosystem; Geography; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116414,0.0002172403,0.0002905815,0.0000682428,0.00007150264,0.00004125385,0.0001977455,0.000210221,0.0008364235],"category_scores_gemma":[0.00003984986,0.0001637211,0.00004135717,0.0002145115,0.0002738098,0.00008187925,0.000298496,0.0003111247,0.00009576271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125794,"about_ca_system_score_gemma":0.000003936698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009509979,"about_ca_topic_score_gemma":0.009378131,"domain_scores_codex":[0.9980022,0.000222604,0.000375719,0.0006048881,0.0001542323,0.0006403314],"domain_scores_gemma":[0.9994892,0.00007045867,0.00004232773,0.0002474247,0.000004006838,0.0001466061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003923154,0.0001551692,0.9472466,0.00001679283,0.000004343925,0.00005027179,0.0004189015,0.00002516287,0.05060738,0.000003373496,0.00103478,0.0003980163],"study_design_scores_gemma":[0.0007827767,0.0002086259,0.9956506,0.0000195069,0.000009682808,0.000008341025,0.0001499422,0.0002009373,0.00218863,0.00005417704,0.0005007204,0.0002260467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979035,0.000007759212,0.000003765933,0.001467466,0.00009486847,0.000299047,0.00009457968,0.00005073266,0.00007826707],"genre_scores_gemma":[0.9990828,0.00001777074,0.00001915527,0.0004342311,0.00002668439,0.00003594341,0.0001229539,0.00001608935,0.0002443898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04841875,"threshold_uncertainty_score":0.9158251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336184681754499,"score_gpt":0.2598514310112683,"score_spread":0.2464895841937234,"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."}}