{"id":"W2068252521","doi":"10.1016/j.scitotenv.2012.02.057","title":"A mine of information: Benthic algal communities as biomonitors of metal contamination from abandoned tailings","year":2012,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tailings; Biomonitoring; Environmental chemistry; Diatom; Cadmium; Environmental science; Periphyton; Benthic zone; Contamination; Bioindicator; Zinc; Trace metal; Ecology; Algae; Metal; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001659177,0.00007257711,0.0001400872,0.00005795868,0.0001702519,0.00002173404,0.000712519,0.0000217282,0.0003002885],"category_scores_gemma":[0.0000698611,0.00003975955,0.00005986536,0.0001651481,0.002087284,0.0006667069,0.0004792693,0.00006224836,0.00003916182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000422793,"about_ca_system_score_gemma":0.00004752591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735577,"about_ca_topic_score_gemma":0.000001248077,"domain_scores_codex":[0.9984578,0.00009370466,0.0002840345,0.00005541028,0.0009083886,0.0002006774],"domain_scores_gemma":[0.9991347,0.0001159947,0.0002798353,0.0003907901,0.00003350062,0.0000451351],"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":[0.0000319474,0.0001019695,0.000434922,0.00001236569,0.00000850178,1.890349e-8,0.004793806,0.0005093758,0.9926103,0.0009760938,0.000004792745,0.0005158911],"study_design_scores_gemma":[0.0002049846,0.0001063207,0.04504655,0.00002602828,0.00001923739,0.000001546184,0.002632733,0.0005374681,0.9511947,0.0001651806,0.00001698908,0.00004827671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987791,0.000124306,0.00001657368,0.0001824157,0.0001747872,0.0001802844,0.00003411406,0.000003374264,0.0005051027],"genre_scores_gemma":[0.9996944,0.00002100719,0.0001672121,0.000005401464,0.00001739234,0.000007015593,0.000002506814,0.00000254393,0.00008252151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04461163,"threshold_uncertainty_score":0.7690684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437195255508889,"score_gpt":0.245342401863119,"score_spread":0.2309704493080301,"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."}}