{"id":"W2780662251","doi":"10.18331/sfs2017.4.1.4","title":"The impact of climatic factors on bacterial indicators of freshwater quality","year":2017,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Quality (philosophy); Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001063265,0.0002830221,0.0002943422,0.0003723829,0.0002694828,0.0007962947,0.0001626663,0.0003524749,0.0009911319],"category_scores_gemma":[0.002449023,0.0001794534,0.0004922316,0.0005957899,0.0003691202,0.0003960653,0.0003700251,0.0003638807,0.0001699387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004284786,"about_ca_system_score_gemma":0.0003556678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007596844,"about_ca_topic_score_gemma":0.008784355,"domain_scores_codex":[0.9993123,0.0003001136,0.00005252282,0.0001053188,0.0001073229,0.000122418],"domain_scores_gemma":[0.9969786,0.001514773,0.0004608984,0.0001377528,0.0005468221,0.0003611521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001350085,0.0001403236,0.9532788,0.00004305369,0.0002562503,0.0000852298,0.0001268911,0.001078057,0.03901756,0.0000683438,0.00008606301,0.004469214],"study_design_scores_gemma":[0.000001743954,0.000113842,0.99834,0.000001353682,0.00002213466,0.00001587644,0.0000647576,0.0003220035,0.001042851,0.000009947555,0.00006313394,0.000002454854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991128,0.0001326478,0.0001057796,0.00001890336,0.000008073205,0.000002674623,0.0002134164,0.000001318274,0.0004043908],"genre_scores_gemma":[0.9995838,0.00005215425,0.0000515141,0.00001225493,0.000003607794,0.000001767689,0.0001787472,0.000001848817,0.0001143861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007596844,"threshold_uncertainty_score":0.01510525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2329448438640352,"score_gpt":0.3731172199053107,"score_spread":0.1401723760412755,"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."}}