{"id":"W4229895786","doi":"10.1039/b007460h","title":"Industrial analysis: metals, chemicals and advanced materials","year":2000,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mint (Canada)","funders":"","keywords":"Environmental science; Environmental chemistry; Engineering; Chemistry","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":[0.002220594,0.002131561,0.00172434,0.006480193,0.001392962,0.003415205,0.001963293,0.002612173,0.02590155],"category_scores_gemma":[0.003074797,0.0008628697,0.0007091265,0.005616459,0.001319336,0.004786448,0.001957074,0.003174199,0.03250032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076572,"about_ca_system_score_gemma":0.002405614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756495,"about_ca_topic_score_gemma":0.004535061,"domain_scores_codex":[0.9969143,0.0003605861,0.0002679965,0.0003079574,0.002013187,0.0001360022],"domain_scores_gemma":[0.9966041,0.0006028652,0.000434024,0.0002853686,0.001713737,0.0003599071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008190983,0.0001318883,0.0004512024,0.002696715,0.00004394909,0.0002310448,0.00008968084,0.000130313,0.01255374,0.002845981,0.4284739,0.5522697],"study_design_scores_gemma":[0.000003961034,0.0000997071,0.0006916004,0.0001875174,0.00001695794,0.0006401708,0.00004355665,0.00010082,0.002555872,0.00106752,0.9945765,0.00001590548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002398031,0.8354994,0.01389099,0.009305889,0.06311222,0.00018815,0.00046335,0.001769938,0.07337204],"genre_scores_gemma":[0.009577867,0.7018695,0.01718366,0.007887925,0.03949969,0.0001652176,0.001825021,0.000465365,0.2215257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02590155,"threshold_uncertainty_score":0.08664936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260095063633058,"score_gpt":0.2570017753511343,"score_spread":0.2444008247148038,"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."}}