{"id":"W2184677182","doi":"","title":"Arsenic biotransformations in terrestrial organisms: A study of the transport and transformation of arsenic in plants, fungi, fur and feathers, using conventional speciation analysis and X-ray absorption spectroscopy","year":2007,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Argonne National Laboratory; Basic Energy Sciences; Office of Science; Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; Queen's University; University of Washington; U.S. Department of Energy","keywords":"Arsenic; Feather; Environmental chemistry; Genetic algorithm; Chemistry; Environmental science; Biology; Materials science; Metallurgy; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009484188,0.0002049449,0.0001826842,0.0001155979,0.0003144017,0.0002878933,0.0001743557,0.0002723267,0.0007049788],"category_scores_gemma":[0.00008622828,0.0001343625,0.0002151089,0.0002450758,0.0002189971,0.0002344953,0.0001204022,0.0002486742,0.0002301549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859069,"about_ca_system_score_gemma":0.0003045935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006018077,"about_ca_topic_score_gemma":0.005625379,"domain_scores_codex":[0.999938,0.000009192416,0.000002195687,0.0000198099,0.00001986835,0.00001091276],"domain_scores_gemma":[0.9999766,0.000006718747,0.000003660745,0.000001785344,0.000007725034,0.000003373118],"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":[0.000175779,0.00002983429,0.001175838,0.00004790993,0.000006988183,0.00008424758,0.000134526,0.0002487606,0.9927152,0.0001840775,0.00005469342,0.005142273],"study_design_scores_gemma":[0.00001672645,0.000538653,0.01711188,0.000006184108,0.00001857501,0.0005597799,0.0002905258,0.001624845,0.9769754,0.0001660909,0.002682125,0.000009193132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957116,0.0006318883,0.002200105,0.00004643515,0.000004058999,0.000009780093,0.00008853802,0.0000145615,0.001293067],"genre_scores_gemma":[0.9865904,0.00191612,0.002826786,0.00002391983,0.000003972835,0.000008705386,0.0002159202,0.00001123044,0.008402952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006018077,"threshold_uncertainty_score":0.01196611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005918680948769572,"score_gpt":0.2046956272612347,"score_spread":0.1987769463124651,"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."}}