{"id":"W4237231740","doi":"10.37867/te130353","title":"ASSESSMENT OF PHYSICO-CHEMICAL CHARACTERISTICS OF WATER IN MANGROVE ECOSYSTEM","year":2021,"lang":"en","type":"article","venue":"Towards Excellence","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Mangrove; Environmental science; Water quality; Shrimp farming; Biotope; Mangrove ecosystem; Sampling (signal processing); Ecosystem; Port (circuit theory); Baseline (sea); Agriculture; Hydrology (agriculture); Fishery; Ecology; Aquaculture; Fish <Actinopterygii>; Biology; Engineering; Habitat","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003074039,0.0001028525,0.0002661585,0.00002042348,0.00001538153,0.000007376396,0.0001774235,0.00005309884,0.00191844],"category_scores_gemma":[0.000009905432,0.00008432189,0.00006606692,0.0001135758,0.00008670221,0.00008327309,0.0002400232,0.00009947022,0.00006550884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268302,"about_ca_system_score_gemma":0.00003300672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408456,"about_ca_topic_score_gemma":0.00002273855,"domain_scores_codex":[0.9986899,0.0001128356,0.000422737,0.0002281118,0.0003458433,0.0002005502],"domain_scores_gemma":[0.9995282,0.00002502456,0.0001065524,0.0002730264,0.00001712849,0.0000500694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001144395,0.0005139258,0.02914503,0.0002175662,0.00001413712,0.00003320607,0.001644684,0.0001382127,0.96319,0.0006705126,0.000137463,0.004283816],"study_design_scores_gemma":[0.0002981179,0.00003801462,0.1687774,0.0000811914,0.00001045539,0.000006066226,0.000193673,0.0009256731,0.8275791,0.0003191292,0.001621136,0.0001500385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907294,0.00000751121,0.0006263981,0.0003166051,0.0001110141,0.00008844598,0.00004686471,0.000008226388,0.008065513],"genre_scores_gemma":[0.9981242,0.00002321263,0.001361041,0.00005529981,0.00001936963,0.000008980288,0.00001807611,0.000006280478,0.0003835853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396324,"threshold_uncertainty_score":0.9989939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624669132707996,"score_gpt":0.2723828504029753,"score_spread":0.2561361590758954,"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."}}