{"id":"W2139778911","doi":"10.1002/etc.363","title":"An aquatic toxicological evaluation of sulfate: The case for considering hardness as a modifying factor in setting water quality guidelines","year":2010,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada); Nautilus Environmental","funders":"","keywords":"Sulfate; Water quality; Invertebrate; Environmental chemistry; Environmental science; Toxicity; Hard water; Fish <Actinopterygii>; Toxicology; Chemistry; Ecology; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002198861,0.000278598,0.0003439618,0.00002448897,0.0004154567,0.00002053745,0.0002671517,0.0005472784,0.006513267],"category_scores_gemma":[0.0003088384,0.0002053392,0.00007888918,0.00005278652,0.001264391,0.0002027937,0.0002900292,0.000512739,0.00002774201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086191,"about_ca_system_score_gemma":0.00001825332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004498021,"about_ca_topic_score_gemma":0.0004270636,"domain_scores_codex":[0.9976537,0.0002990906,0.0006685105,0.0006334654,0.0002384255,0.0005068617],"domain_scores_gemma":[0.9989362,0.0003318434,0.0001934136,0.0003939232,0.000004323866,0.0001402771],"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":[0.00008140264,0.0003719685,0.06094341,0.0000201018,0.00001896766,0.00004463354,0.0005290101,0.0006901868,0.9333768,0.00000759386,0.00003515249,0.003880789],"study_design_scores_gemma":[0.002051243,0.0002394813,0.05088134,0.000007070401,0.00007707506,0.000894975,0.002227491,0.01000774,0.9310401,0.001909373,0.0002652365,0.0003988786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980066,0.00004803899,0.00003367863,0.0004157691,0.0001738233,0.000726041,0.00003241089,0.00001904209,0.0005445704],"genre_scores_gemma":[0.9980034,0.0000155873,0.000993302,0.0004364744,0.00005883996,0.0003306745,0.00002975072,0.00002060249,0.0001114062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006207,"threshold_uncertainty_score":0.9943949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869656524520156,"score_gpt":0.3471134730082455,"score_spread":0.288416907763044,"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."}}