{"id":"W2122376853","doi":"10.1139/cjc-2013-0518","title":"Split-flow Taylor dispersion technique for diffusivity and concentration measurements of hydrazine in aqueous solution","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Trent University","funders":"Office of Energy Research and Development; Natural Resources Canada; Atomic Energy of Canada Limited","keywords":"Chemistry; Hydrazine (antidepressant); Aqueous solution; Diffusion; Taylor dispersion; Dispersion (optics); Thermal diffusivity; Analytical Chemistry (journal); Calibration curve; Detection limit; Chromatography; Thermodynamics; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008777697,0.0007410079,0.0007438521,0.0007926502,0.0003384254,0.0002663293,0.000730785,0.0008778693,0.0009588799],"category_scores_gemma":[0.0008933252,0.0004473922,0.0004097942,0.0004417723,0.0004353494,0.0006818473,0.0003956794,0.001150303,0.0006879914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891531,"about_ca_system_score_gemma":0.0006931115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009170033,"about_ca_topic_score_gemma":0.001792218,"domain_scores_codex":[0.9993966,0.00008976302,0.00002311623,0.0001587301,0.0003042111,0.00002762446],"domain_scores_gemma":[0.9995142,0.0001830131,0.00009424849,0.00004338717,0.0001368747,0.0000281742],"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":[0.00003236847,0.0000125844,0.000085913,0.0000569651,0.000003662422,0.0000293925,0.00002145407,0.00005443139,0.9948232,0.0001199175,0.00009453919,0.004665422],"study_design_scores_gemma":[0.00001207495,0.0002264439,0.0006870307,0.000006855995,0.00001550607,0.0003431971,0.00001852825,0.004042325,0.9926624,0.00009157637,0.001879322,0.00001476032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3066493,0.006718107,0.679916,0.0004053668,0.0003378624,0.0005266589,0.0007935831,0.002174381,0.002478843],"genre_scores_gemma":[0.4149395,0.008610626,0.5656101,0.0002830675,0.0001300775,0.001052608,0.0007848214,0.0001425041,0.008446618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009588799,"threshold_uncertainty_score":0.004642129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110630030394599,"score_gpt":0.2117315822121505,"score_spread":0.2006252819082045,"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."}}