{"id":"W2009523409","doi":"10.1016/j.supflu.2010.10.029","title":"Thermal decomposition of hydrazine in sub- and supercritical water at 25 MPa","year":2010,"lang":"en","type":"article","venue":"The Journal of Supercritical Fluids","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Trent University","keywords":"Supercritical fluid; Plug flow; Thermal decomposition; Isobar; Dispersion (optics); Residence time (fluid dynamics); Chemistry; Volume (thermodynamics); Hydrothermal circulation; Residence time distribution; Decomposition; Aqueous solution; Thermodynamics; Plug flow reactor model; Materials science; Continuous stirred-tank reactor; Chemical engineering; Mineralogy; Physical chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001644031,0.0002809188,0.0001887575,0.0002144657,0.0002417223,0.0001470838,0.0002001867,0.0002602777,0.003160936],"category_scores_gemma":[0.0002947471,0.0001568088,0.0001565184,0.0002107811,0.0003039301,0.0003262068,0.0001055045,0.0003413103,0.0003026948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003647534,"about_ca_system_score_gemma":0.0003125312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334778,"about_ca_topic_score_gemma":0.004076084,"domain_scores_codex":[0.9998846,0.000008205845,0.000005779151,0.00002208707,0.00004117543,0.00003828734],"domain_scores_gemma":[0.9999233,0.00002641799,0.00001678418,0.000005931344,0.00001821885,0.000009275338],"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":[0.0007056227,0.00003160381,0.0007349552,0.00009991774,0.00001286242,0.00008219933,0.0001476438,0.0008660442,0.9940622,0.0002465034,0.0002023538,0.00280791],"study_design_scores_gemma":[0.000008173556,0.0001724667,0.003227271,0.000006222664,0.000006905152,0.00002552428,0.0000617061,0.002269062,0.9936298,0.00003412821,0.0005518046,0.000007038907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974284,0.0002984725,0.0004986756,0.00003443018,0.000009630905,0.0000100608,0.0001831586,0.00001838302,0.001518883],"genre_scores_gemma":[0.9985307,0.0001345756,0.0002283846,0.000009717668,0.000002894471,0.000006984484,0.0001115764,0.000004812756,0.0009703838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003334778,"threshold_uncertainty_score":0.01057434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006140466902660511,"score_gpt":0.2229852585371645,"score_spread":0.216844791634504,"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."}}