{"id":"W2498951936","doi":"10.1021/bk-2002-0837.ch014","title":"Preparation and Regeneration of Nickel-Iron for Reduction of Organic Contaminants","year":2002,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nickel; Plating (geology); Chemistry; Iron oxide; Inorganic chemistry; Nuclear chemistry; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001070571,0.0003264501,0.0002419074,0.0002203799,0.0001471698,0.0001990563,0.000366945,0.0002365094,0.001893577],"category_scores_gemma":[0.000093851,0.0001486157,0.0001480348,0.0002291912,0.00008916829,0.0002773246,0.00012327,0.0002592504,0.001598122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347653,"about_ca_system_score_gemma":0.000171486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004862818,"about_ca_topic_score_gemma":0.00163111,"domain_scores_codex":[0.9999512,0.000004514357,0.00000306991,0.00001288262,0.00002236648,0.000005894214],"domain_scores_gemma":[0.9999764,0.000006875256,0.000002324546,0.000003396031,0.0000080331,0.000002913839],"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":[0.00002348901,0.00003992466,0.00005187336,0.0001513651,0.000002913026,0.00009174054,0.00002687482,0.0002134495,0.9753065,0.0003218125,0.0003073772,0.02346274],"study_design_scores_gemma":[0.000003924389,0.00008987536,0.000310063,0.00001053881,0.000005857911,0.0002257138,0.00001238343,0.0004959216,0.9807869,0.0001154455,0.01793895,0.000004248476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6817807,0.02933758,0.1874282,0.0004431914,0.0003334812,0.0006367105,0.001242493,0.001673028,0.09712461],"genre_scores_gemma":[0.5792643,0.01664,0.1766316,0.0002934559,0.00005231973,0.0003186859,0.003554694,0.0003374827,0.2229075],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001893577,"threshold_uncertainty_score":0.006334662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008496710745954145,"score_gpt":0.1992566671609288,"score_spread":0.1907599564149747,"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."}}