{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185787,0.0001413364,0.0001703837,0.00008776414,0.00005507614,0.00001374802,0.0001031479,0.0002410597,0.00004339557],"category_scores_gemma":[0.00006125851,0.000121577,0.00002743757,0.0001125727,0.00004900544,0.0001632792,0.00002216607,0.00007565612,0.00005531915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005990999,"about_ca_system_score_gemma":0.000008226057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005270108,"about_ca_topic_score_gemma":0.00003670872,"domain_scores_codex":[0.9991125,0.00001840744,0.000223745,0.0003572819,0.0001681851,0.0001198431],"domain_scores_gemma":[0.999409,0.00001312788,0.0002493315,0.0002668976,0.0000454101,0.00001623053],"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":[0.0000480571,0.00002077091,0.0006448743,0.0002278416,0.000006198782,1.444645e-8,0.001926649,0.0001065122,0.9812768,0.0003973462,0.00003986234,0.01530504],"study_design_scores_gemma":[0.0001346419,0.00005909383,0.01298769,0.00002597973,0.00003245475,6.57235e-7,0.0004922323,0.002503037,0.9795396,0.0004836755,0.003572098,0.0001688639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896672,0.00003765388,0.00729657,0.0003247434,0.0002387532,0.001375228,0.000005166433,0.00008756763,0.0009670696],"genre_scores_gemma":[0.9815016,0.0001240985,0.0005753816,0.000010759,0.00002916853,0.0002541078,0.002085033,0.00002715499,0.01539267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01513618,"threshold_uncertainty_score":0.4957767,"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."}}