{"id":"W4407562930","doi":"10.3897/jbgs.e143055","title":"Multiple factor analysis using water quality index scores and parameters as an approach for evaluating the environmental status of polluted lakes along the Black Sea coast of Bulgaria","year":2025,"lang":"en","type":"article","venue":"Journal of the Bulgarian Geographical Society","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Constantine of Preslav University of Shumen","keywords":"Water quality; Environmental science; Black sea; Index (typography); Quality (philosophy); Environmental quality; Geography; Oceanography; Ecology; Geology; Computer science; Biology","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":[0.002748822,0.0001808367,0.0004056078,0.00004826098,0.0004471345,0.00007067807,0.000516835,0.0001310427,0.00007113232],"category_scores_gemma":[0.0001246741,0.00008177498,0.0008177644,0.0004450437,0.001458353,0.0001569567,0.000312081,0.0003575611,1.754021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112523,"about_ca_system_score_gemma":0.00003615739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003038916,"about_ca_topic_score_gemma":0.00039249,"domain_scores_codex":[0.9969507,0.0009239565,0.0008321826,0.0002282022,0.000714042,0.000350904],"domain_scores_gemma":[0.998342,0.0004640977,0.0006724045,0.0003797837,0.00002940212,0.0001122651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002223626,0.0003271535,0.9324451,0.00003344857,0.001239484,8.867681e-8,0.005978878,0.02734126,0.03178732,0.00004825063,0.00002618772,0.0005504607],"study_design_scores_gemma":[0.0009774229,0.0001704095,0.9172495,0.00001837933,0.0008004222,0.000002215677,0.003996156,0.07200723,0.003917291,0.0006735205,0.00006530232,0.0001221376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864061,0.00004103705,0.01199201,0.0009162399,0.00007790847,0.000411406,0.0001423972,0.000003632875,0.000009268671],"genre_scores_gemma":[0.9956821,0.00002165522,0.003876981,0.0003582866,0.00002011524,0.000005003581,0.000009012013,0.000007436289,0.00001936748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04466597,"threshold_uncertainty_score":0.5373363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331385378451112,"score_gpt":0.3246779454017822,"score_spread":0.2813640916172711,"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."}}