{"id":"W2042689409","doi":"10.1016/j.chemosphere.2006.07.025","title":"Effect of a mixture of seven pharmaceuticals on Hyalella azteca over multiple generations","year":2006,"lang":"en","type":"article","venue":"Chemosphere","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Hyalella azteca; Effluent; Naproxen; Acetaminophen; Bioaccumulation; Amphipoda; Environmental chemistry; Toxicology; Triclosan; Diclofenac; Chemistry; Environmental science; Biology; Ecology; Crustacean; Environmental engineering; Pharmacology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002716312,0.0005654578,0.0007621195,0.0002948098,0.0004572425,0.0007134948,0.0005934711,0.001057163,0.002235107],"category_scores_gemma":[0.0005583088,0.0002831781,0.0006266611,0.0003180435,0.0003129411,0.0004293798,0.0006801621,0.0008452212,0.0003817009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443028,"about_ca_system_score_gemma":0.0008733195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008905313,"about_ca_topic_score_gemma":0.007640442,"domain_scores_codex":[0.9994247,0.0001219109,0.00005369017,0.0001508544,0.0001418073,0.0001070663],"domain_scores_gemma":[0.9993817,0.0001866902,0.00009627341,0.00005710608,0.0001512968,0.0001269598],"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":[0.002321326,0.0004228607,0.0008963747,0.0000812515,0.00005638705,0.0001157945,0.00006059066,0.0004058041,0.9913845,0.00005229372,0.0001373783,0.004065451],"study_design_scores_gemma":[0.00007796146,0.005818821,0.01198545,0.00001138521,0.0001283805,0.0001652381,0.0002242246,0.001223338,0.9786201,0.00004993784,0.001663483,0.0000317989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971538,0.0004792933,0.0003760316,0.0002019414,0.00007515649,0.00003521899,0.000452686,0.00002874847,0.001197157],"genre_scores_gemma":[0.9918289,0.0003821382,0.001757843,0.0001577173,0.00002221794,0.00003286932,0.0006617897,0.00001788343,0.005138674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008905313,"threshold_uncertainty_score":0.01770699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009180927983834759,"score_gpt":0.2755506669787604,"score_spread":0.2663697389949256,"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."}}