{"id":"W3093501248","doi":"","title":"Antropic influence on lakes water quality - case study of Bucharest city","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Water quality; Environmental science; Chemical oxygen demand; Biochemical oxygen demand; Pollution; Hydrology (agriculture); Nutrient; Water pollution; Environmental engineering; Environmental chemistry; Ecology; Wastewater; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005341288,0.0003353906,0.0004371679,0.00009232625,0.0003376459,0.0001249345,0.001019189,0.0002158679,0.001366757],"category_scores_gemma":[0.0003235409,0.0002817609,0.0001441895,0.0001708119,0.0003956562,0.0001543345,0.002007479,0.0005938777,0.0001591685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715523,"about_ca_system_score_gemma":0.00004637627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05576564,"about_ca_topic_score_gemma":0.02344842,"domain_scores_codex":[0.9896835,0.007752111,0.000793892,0.0008080318,0.0006100801,0.0003523625],"domain_scores_gemma":[0.9962582,0.0004451783,0.0005179152,0.002307455,0.0002877104,0.0001835413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001832122,0.02244022,0.4864228,0.000705646,0.0004463429,0.0004711513,0.4168362,0.00379919,0.02524305,0.02133166,0.001006305,0.02111421],"study_design_scores_gemma":[0.003475097,0.00002334639,0.6317402,0.001688425,0.0002435556,0.0001486309,0.005204457,0.001608712,0.337729,0.009694808,0.006093143,0.002350645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983255,0.00001978391,0.001712571,0.001161583,0.000132776,0.0006688975,0.00007601842,0.00009671634,0.01287671],"genre_scores_gemma":[0.9961393,0.00002846186,0.001434469,0.0001048304,0.000009179878,0.0000694948,0.0000758719,0.00002126732,0.002117127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4116317,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466179229891216,"score_gpt":0.2848426907673981,"score_spread":0.2382247677782765,"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."}}