{"id":"W14146484","doi":"10.1007/978-94-017-1445-7_14","title":"Photocatalysis for Pretreatment of Metal-Containing Samples and for Removing Metals from the Waste","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stripping (fiber); Photocatalysis; Cadmium; Mercury (programming language); Metal; Waste management; Environmental chemistry; Materials science; Voltammetry; Chemistry; Metallurgy; Electrochemistry; Electrode; Catalysis; Organic chemistry; Composite material","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":[0.0001599109,0.00075921,0.000781842,0.000760484,0.0002807231,0.0007132208,0.001121719,0.0008270663,0.007458391],"category_scores_gemma":[0.0001484517,0.0004835397,0.0004631165,0.001167165,0.0002313915,0.0009075177,0.0002908962,0.001246628,0.008167087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562275,"about_ca_system_score_gemma":0.0002690825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004568051,"about_ca_topic_score_gemma":0.002065726,"domain_scores_codex":[0.9998575,0.000006698281,0.000005104393,0.00003273796,0.00008802714,0.000009805085],"domain_scores_gemma":[0.9999313,0.00002793308,0.000004317809,0.00001269523,0.00001993529,0.00000385312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007961202,0.0001213886,0.000121863,0.001195468,0.00002784512,0.0002298912,0.00009572274,0.0006234096,0.6534689,0.006786073,0.01794627,0.3193036],"study_design_scores_gemma":[0.00001202605,0.000141478,0.0008343724,0.0001041883,0.00004428973,0.001939124,0.00004515185,0.002463856,0.7164398,0.006226121,0.2717176,0.00003183277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03924557,0.1600318,0.5310662,0.001725344,0.002778036,0.0004085098,0.001835805,0.003393712,0.259515],"genre_scores_gemma":[0.09121493,0.09320764,0.2139508,0.001068966,0.0002917066,0.0002497346,0.002065733,0.00103173,0.5969188],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007458391,"threshold_uncertainty_score":0.0249508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042306389581941,"score_gpt":0.2628815451971367,"score_spread":0.2205751556151957,"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."}}