{"id":"W4394179720","doi":"10.6084/m9.figshare.14303848","title":"Determination of Copper and Cadmium in Petroleum Produced Formation Water by Electrothermal Atomic Absorption Spectrometry after Cloud Point Extraction","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud point; Cadmium; Copper; Atomic absorption spectroscopy; Extraction (chemistry); Chemistry; Analytical Chemistry (journal); Mass spectrometry; Absorption (acoustics); Environmental chemistry; Materials science; Chromatography; Physics","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":[0.001113915,0.0009791286,0.0008207354,0.002736721,0.0004573053,0.001026652,0.001233186,0.0007930226,0.01036434],"category_scores_gemma":[0.00244591,0.0002647114,0.0007298096,0.005125735,0.0002965344,0.0006473338,0.001099086,0.0008691227,0.009499858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000915305,"about_ca_system_score_gemma":0.001515947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274849,"about_ca_topic_score_gemma":0.02370273,"domain_scores_codex":[0.9992223,0.0001377496,0.0001181001,0.0002847249,0.0001639747,0.00007315884],"domain_scores_gemma":[0.9989879,0.0003209554,0.0001659994,0.0002075279,0.000273376,0.00004426673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001066831,0.0002959359,0.05948747,0.0138357,0.0008125306,0.0005584263,0.000526178,0.0141988,0.02041057,0.005434073,0.7832375,0.100136],"study_design_scores_gemma":[0.0002045036,0.00006442631,0.05283608,0.0004833023,0.0001742748,0.0001954277,0.0002304191,0.002436115,0.006344444,0.002057036,0.9349207,0.000053291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003041875,0.0001310295,0.0005576719,0.00004301928,0.000009203823,0.00002768753,0.9952586,0.0002177961,0.0007131959],"genre_scores_gemma":[0.003914029,0.0001917259,0.003456478,0.00003198361,0.000003068924,0.000195884,0.9915329,0.00005687977,0.000617025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01274849,"threshold_uncertainty_score":0.0346722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008178289714831,"score_gpt":0.2387058731963338,"score_spread":0.2305275834815028,"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."}}