{"id":"W3096379690","doi":"10.46390/j.smensuen.23220.432","title":"CWQI index as quality indicator of surface water - An approach on the Olt River, Romania","year":2020,"lang":"en","type":"article","venue":"SMART ENERGY AND SUSTAINABLE ENVIRONMENT","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Water quality; Drainage basin; Index (typography); Hydrology (agriculture); Pollution; Surface water; Work (physics); Water resource management; Environmental engineering; Geography; Geology; Cartography; Computer science; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005539675,0.0002932532,0.0002985474,0.003417864,0.0003513145,0.0007287373,0.0002115303,0.0001880669,0.0005812947],"category_scores_gemma":[0.000634987,0.0001008482,0.0003414286,0.003872189,0.0003030947,0.0003008678,0.0006331722,0.0002018804,0.0001203525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009893629,"about_ca_system_score_gemma":0.0008003326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03405022,"about_ca_topic_score_gemma":0.05365827,"domain_scores_codex":[0.9995186,0.00008989899,0.00003890891,0.0001026772,0.0001970295,0.00005272761],"domain_scores_gemma":[0.9997525,0.00002632215,0.00005463717,0.00001752645,0.0001312604,0.00001788816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212558,0.00008117898,0.8636417,0.000260519,0.0001185646,0.0002458367,0.0009320535,0.006461794,0.01901582,0.001315677,0.001375177,0.1064305],"study_design_scores_gemma":[0.000006718506,0.0001148633,0.9706353,0.00004827885,0.00004268756,0.0003064628,0.001555064,0.01361377,0.005784902,0.0004060239,0.007458424,0.00002753258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745803,0.001118798,0.006836212,0.0001063702,0.00001896082,0.00009785447,0.001189673,0.00005515407,0.01599669],"genre_scores_gemma":[0.9901631,0.0005132341,0.007314011,0.00002277685,0.00000840646,0.00005764596,0.0007529092,0.000008712424,0.001159274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03405022,"threshold_uncertainty_score":0.06770408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166098404267479,"score_gpt":0.2227757665496668,"score_spread":0.2061659261229189,"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."}}