{"id":"W2760082535","doi":"10.5539/ep.v6n2p41","title":"Preparation of 15N-labeled Potassium Ferrocyanide for Tracer Studies","year":2017,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Bahn","keywords":"Cyanide; Ferrocyanide; Chemistry; Potassium ferrocyanide; TRACER; Environmental chemistry; Ferrous; Potassium cyanide; Potassium; Prussian blue; Inorganic chemistry; Organic chemistry; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006146611,0.0006368382,0.0006747015,0.0004950688,0.0004950964,0.0002601889,0.0006051352,0.0007571904,0.002214251],"category_scores_gemma":[0.0004706636,0.0003357614,0.000256452,0.0005182348,0.0002551647,0.0003105768,0.0003423657,0.0007236352,0.001811106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527526,"about_ca_system_score_gemma":0.0005109561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094316,"about_ca_topic_score_gemma":0.003233079,"domain_scores_codex":[0.9997495,0.00003221116,0.00002426242,0.00007552111,0.00007091414,0.0000475273],"domain_scores_gemma":[0.9997501,0.00003508522,0.00002607877,0.00004560862,0.0001133258,0.00002982211],"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":[0.00004491278,0.0000178715,0.00007790168,0.00009877737,0.000004241295,0.00004967056,0.00002442022,0.0001306074,0.9976082,0.0001989477,0.0000742939,0.001670087],"study_design_scores_gemma":[0.00001848083,0.0001340231,0.0003312277,0.0000179484,0.00001047315,0.0001035768,0.00002651405,0.0006868816,0.9893215,0.0001610337,0.00917441,0.00001390388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.743799,0.004789424,0.2281126,0.0002253328,0.0003651545,0.0027395,0.005449832,0.0009999934,0.01351919],"genre_scores_gemma":[0.6549597,0.005639531,0.3043831,0.0002168493,0.00007620122,0.003196752,0.01123126,0.0004825872,0.01981418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002214251,"threshold_uncertainty_score":0.007407427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574191151909537,"score_gpt":0.3253131125102223,"score_spread":0.2678939973192686,"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."}}