{"id":"W1863782509","doi":"10.3906/kim-1108-10","title":"Optimization of a new cloud point extraction procedure for the selective determination of trace amounts of total iron in some environmental samples","year":2012,"lang":"en","type":"article","venue":"TURKISH JOURNAL OF CHEMISTRY","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Detection limit; Reagent; Extraction (chemistry); Cloud point; Analytical Chemistry (journal); Certified reference materials; Ion; Trace Amounts; Atomic absorption spectroscopy; Chromatography; Nuclear chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008792768,0.0008773115,0.000918987,0.0006536034,0.0003863055,0.0004129748,0.0005904054,0.0007327746,0.0003762855],"category_scores_gemma":[0.0008132039,0.0004015848,0.0005329664,0.0003887087,0.0004043562,0.0005621066,0.0004584829,0.0006236723,0.0003866028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105412,"about_ca_system_score_gemma":0.0005629202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550135,"about_ca_topic_score_gemma":0.003532467,"domain_scores_codex":[0.999216,0.0001106136,0.00005939475,0.0002214131,0.0003387212,0.00005374339],"domain_scores_gemma":[0.999713,0.00006439192,0.00005317213,0.00002369726,0.0001189987,0.00002666321],"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":[0.00002716736,0.0000221057,0.0001310378,0.00006514462,0.000008161898,0.00002718934,0.00001253885,0.000112752,0.996569,0.00003320694,0.00003113663,0.002960438],"study_design_scores_gemma":[0.00002995646,0.0002564313,0.003772347,0.00001368559,0.0000440604,0.0003699939,0.00001973177,0.003518377,0.9878956,0.00006205672,0.003988245,0.00002952047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.650554,0.003976654,0.3409735,0.0003439786,0.000191752,0.001201979,0.000708664,0.0006056515,0.001443839],"genre_scores_gemma":[0.5046486,0.004287807,0.4832251,0.0003801885,0.0001469476,0.001187323,0.001402773,0.0002016249,0.004519613],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001550135,"threshold_uncertainty_score":0.004650116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884657281989924,"score_gpt":0.2818489465651776,"score_spread":0.2630023737452784,"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."}}