{"id":"W4381432779","doi":"10.3897/jbgs.2020.43.2","title":"Territorial features and dynamics in the water quality change in the Topolnitsa and Luda Yana rivers","year":2020,"lang":"en","type":"article","venue":"Journal of the Bulgarian Geographical Society","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Pollution; Index (typography); Hydrology (agriculture); Current (fluid); Water pollution; Water resource management; Oceanography; Environmental chemistry; Geology; Ecology; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001476933,0.0001070954,0.0001290259,0.00001117331,0.0001799004,0.000100755,0.0006289003,0.00007030413,0.00003862297],"category_scores_gemma":[0.00001738004,0.00003906644,0.0001401664,0.0002361044,0.0005256593,0.0002053346,0.000368065,0.0004571949,0.000001564904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007678715,"about_ca_system_score_gemma":0.000001565253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523542,"about_ca_topic_score_gemma":0.001068721,"domain_scores_codex":[0.9985588,0.0002760104,0.0002331833,0.0001669884,0.000535824,0.0002292356],"domain_scores_gemma":[0.9996428,0.00006131775,0.00008701074,0.0001386928,0.000001983173,0.00006822207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003732708,0.0001233825,0.968846,0.00001048766,0.00001967243,0.00001157899,0.02425672,0.00003720991,0.0004380177,0.0002270515,0.001776897,0.00421562],"study_design_scores_gemma":[0.0004502868,0.0001033953,0.9877885,0.000009438437,0.00002085871,0.00001524226,0.00469271,0.0002056539,0.00002553682,0.001717451,0.004886872,0.00008404769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929118,0.00005608788,0.00001008938,0.1064504,0.0001447295,0.0002234359,0.000003168177,0.000001886731,0.0001984031],"genre_scores_gemma":[0.9909331,0.0001856682,0.00008923899,0.008587332,0.0001871741,0.000004313988,6.755252e-7,0.000003068347,0.000009414729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09802135,"threshold_uncertainty_score":0.230315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335568630427042,"score_gpt":0.2270602318109321,"score_spread":0.2137045455066617,"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."}}