{"id":"W2992202617","doi":"","title":"Production, Characterization and Application of Monolithic Biocarbon for Water Desalination","year":2019,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Desalination; Characterization (materials science); Environmental science; Water desalination; Engineering; Materials science; Nanotechnology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001289016,0.0001539737,0.0001315338,0.0001787009,0.0001635327,0.0002760171,0.0001378134,0.0002146627,0.0004420512],"category_scores_gemma":[0.0001394433,0.00008726143,0.0001502404,0.0002242754,0.0001059072,0.00019865,0.0001157401,0.0002267221,0.0001773255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104704,"about_ca_system_score_gemma":0.0001327272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004472076,"about_ca_topic_score_gemma":0.001096272,"domain_scores_codex":[0.9999113,0.00000421075,0.00000397638,0.00002369285,0.0000439592,0.00001283646],"domain_scores_gemma":[0.9999504,0.000007724065,0.000008382899,0.000005975512,0.00001810981,0.000009483309],"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":[0.000004802861,0.000007347441,0.00007908787,0.00001647853,0.000001372385,0.00002210842,0.000007903105,0.00007699095,0.9984706,0.00003177485,0.00001333989,0.0012681],"study_design_scores_gemma":[0.000001329226,0.0000548899,0.002012041,0.0000030136,0.00000398733,0.00005563155,0.00001441157,0.0004021166,0.9958702,0.00001942672,0.001560545,0.000002329691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852747,0.002057976,0.008882659,0.00005787094,0.00003812457,0.00004221176,0.0003469848,0.00005042633,0.003249005],"genre_scores_gemma":[0.9869408,0.001385928,0.007735844,0.00002488186,0.00000614753,0.00001842687,0.0003529866,0.00002122149,0.003513815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004472076,"threshold_uncertainty_score":0.001527011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009986642161915705,"score_gpt":0.2802324292153499,"score_spread":0.2702457870534342,"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."}}