{"id":"W2800584776","doi":"10.7939/r3p55dr10","title":"Arsenic Speciation Analysis in Environmental and Biological Systems","year":2013,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Risk analysis (engineering); Computer science; Environmental science; Biology; Ecology; Business","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":[0.00002254931,0.00003974701,0.00007757854,0.00006068293,0.00002750049,0.000006616986,0.00006029977,0.00003857357,0.007979801],"category_scores_gemma":[0.000002709064,0.00004150178,0.00002671691,0.0001265711,0.00008624988,0.0004768578,0.00008822906,0.00002880253,0.0001639162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000261979,"about_ca_system_score_gemma":0.000001980053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087133,"about_ca_topic_score_gemma":0.0002749187,"domain_scores_codex":[0.9996626,0.00003679195,0.00006610549,0.0001183492,0.00005716499,0.00005895349],"domain_scores_gemma":[0.999811,0.00004620763,0.00004563462,0.00006106192,4.497578e-7,0.00003564508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004072445,0.00002935563,0.9954974,0.000001049298,0.00001549535,0.000001120812,0.00114944,0.0001045966,0.0009360791,0.0002951607,0.000383839,0.001582406],"study_design_scores_gemma":[0.0001584874,0.00001459739,0.9903297,0.000001685294,0.00001414016,4.963088e-7,0.00135605,0.00558057,0.00003844416,0.00004930335,0.002407331,0.00004915879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836693,0.0000122472,0.00005309656,0.0002184449,0.000009612014,0.00009692545,0.000001178373,0.000005552849,0.01593362],"genre_scores_gemma":[0.9949141,0.00005365025,0.0001647206,0.00002471533,0.000002997456,1.4538e-7,0.00003354017,0.000001444898,0.004804732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124473,"threshold_uncertainty_score":0.992927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004235970825333829,"score_gpt":0.1390449473179654,"score_spread":0.1348089764926316,"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."}}