{"id":"W1977726462","doi":"10.5539/ijb.v2n2p158","title":"Influences of Aquiculture on Ecological Environment","year":2010,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"China; Pollution; Aquatic ecosystem; Water quality; Quality (philosophy); Environmental science; Aquatic environment; Environmental quality; Ecology; Business; Natural resource economics; Environmental protection; Environmental planning; Environmental resource management; Environmental engineering; Geography; Biology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345088,0.00004928674,0.0001232806,0.00007518559,0.000007661221,0.000002931433,0.0002667195,0.0002176384,0.0001405484],"category_scores_gemma":[0.00006472721,0.0000327702,0.00005351694,0.0000156541,0.00007175919,0.00002593617,0.00001286423,0.0003392342,0.00001375987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001680437,"about_ca_system_score_gemma":0.000007628104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001586048,"about_ca_topic_score_gemma":0.00000246671,"domain_scores_codex":[0.9995602,0.00001599418,0.0002520901,0.00003735522,0.00007366548,0.00006073246],"domain_scores_gemma":[0.9997193,0.00005665581,0.000116358,0.00004240424,0.00004797049,0.00001735151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001513165,0.0001244645,0.01406629,0.000002640311,0.0004872102,0.00004586004,0.00007443567,0.003794988,0.9049951,0.03076834,0.0009857852,0.04450353],"study_design_scores_gemma":[0.006618445,0.003865757,0.1467291,0.0001326464,0.00009163507,0.001409375,0.0003169097,0.001440672,0.3036699,0.03020342,0.5048798,0.0006424611],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958791,0.00005769461,0.0001132754,0.0004984263,0.002260846,0.00002546617,0.000006213286,0.00001081021,0.001148155],"genre_scores_gemma":[0.9993887,0.0000333612,0.000117107,0.00004126671,0.0004005845,0.000001325247,0.000001026765,0.000002107165,0.00001453366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6013253,"threshold_uncertainty_score":0.1678626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007983403262199035,"score_gpt":0.2300867015727789,"score_spread":0.2221032983105798,"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."}}