{"id":"W2357874555","doi":"","title":"Species Selection for Deriving Water Quality Criteria for Protection of Aquatic Organisms in China","year":2012,"lang":"en","type":"article","venue":"The Research of Environmental Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquatic ecosystem; Water quality; Trophic level; Ecology; China; Ecosystem; Zooplankton; Biology; Lake ecosystem; Macrophyte; Biota; Fishery; Environmental science; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008744125,0.00007579843,0.0001264033,0.00006185505,0.0003735432,0.00002063608,0.000276726,0.00003669669,0.0009332273],"category_scores_gemma":[0.0000957419,0.00004509542,0.00004826417,0.0002103866,0.00119003,0.0003607935,0.0001639291,0.00008642399,0.00001835301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198887,"about_ca_system_score_gemma":0.000009252543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250325,"about_ca_topic_score_gemma":0.0001999957,"domain_scores_codex":[0.9980053,0.0004528361,0.0002979965,0.0001783495,0.0006125571,0.000452991],"domain_scores_gemma":[0.9995617,0.0001913577,0.00008072882,0.0001146841,0.000002667521,0.00004889277],"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":[0.00004956592,0.0002353806,0.04486506,0.00003506678,0.000004071063,8.783612e-9,0.004621395,0.0001588713,0.9481769,0.0003690773,0.00004299601,0.001441587],"study_design_scores_gemma":[0.0001880243,0.0003047298,0.4633509,0.00001090441,0.000002998883,8.270277e-7,0.00156879,0.000802793,0.530056,0.003064303,0.000581344,0.00006842428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945514,0.00001543286,0.00314095,0.0008471343,0.00005913466,0.0009767681,0.0000158109,0.000004306962,0.0003890979],"genre_scores_gemma":[0.9979471,0.00001043629,0.001570739,0.00001118633,0.00003757905,0.0001032987,0.000002628635,0.000004915817,0.0003121456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4184858,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119340780481458,"score_gpt":0.4237855906186541,"score_spread":0.2118515125705084,"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."}}