{"id":"W3198167320","doi":"10.22215/etd/2008-06522","title":"Investigation of analytical techniques for determination of metal speciation in natural waters","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Natural (archaeology); Genetic algorithm; Environmental science; Environmental chemistry; Chemistry; Geography; Ecology; Biology; Archaeology","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":[0.001096462,0.0003898058,0.0001756307,0.0005805832,0.0003430935,0.0005030034,0.0007227682,0.0005050901,0.001057055],"category_scores_gemma":[0.002022519,0.0002477428,0.0003230393,0.0004434813,0.0003428084,0.0005637922,0.0003592253,0.0005728495,0.0007746491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000322681,"about_ca_system_score_gemma":0.0007279828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007805333,"about_ca_topic_score_gemma":0.001872974,"domain_scores_codex":[0.9993145,0.0001345568,0.0000373981,0.0001238496,0.0003412713,0.00004833396],"domain_scores_gemma":[0.999246,0.0002805198,0.0000870179,0.00006125534,0.000303581,0.00002153626],"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":[0.00006619752,0.00004494098,0.0006073331,0.0003558603,0.00002252105,0.00009532752,0.0000898491,0.0001352939,0.9726538,0.0004967407,0.0002553163,0.02517685],"study_design_scores_gemma":[0.00001046145,0.0002230596,0.001706493,0.000029071,0.0000279031,0.0005069732,0.00007261338,0.001100257,0.9837474,0.0002486071,0.012319,0.000008202269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5853027,0.02396649,0.3683164,0.001099691,0.0002812653,0.0009449647,0.0009123892,0.0005548609,0.01862126],"genre_scores_gemma":[0.4777062,0.03036445,0.4626284,0.0004656241,0.0001058523,0.0007566746,0.000987757,0.000160866,0.02682418],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001096462,"threshold_uncertainty_score":0.005798697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312115559791871,"score_gpt":0.320814268642034,"score_spread":0.2896027126628469,"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."}}