{"id":"W2888982173","doi":"10.3390/en11092286","title":"Hydrothermal Carbonization of Biosolids from Waste Water Treatment Plant","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health PEI; University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrothermal carbonization; Biosolids; Carbonization; Heat of combustion; Nitrogen; Carbon fibers; Sewage sludge; Phosphorus; Moisture; Hydrothermal circulation; Wastewater; Pulp and paper industry; Sewage treatment; Dewatering; Chemistry; Environmental chemistry; Waste management; Environmental science; Materials science; Chemical engineering; Environmental engineering; Combustion; Adsorption; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000009649675,0.00008750631,0.00009714549,0.00003271796,0.00001486052,0.000006667975,0.00006924263,0.00004627179,0.0002672604],"category_scores_gemma":[0.00000222299,0.00005973459,0.00002297851,0.00004280036,0.00004701802,0.00006222364,0.00001690522,0.00001358487,0.00003602121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568316,"about_ca_system_score_gemma":0.000004223693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007752961,"about_ca_topic_score_gemma":0.000006175984,"domain_scores_codex":[0.9996409,0.000005289639,0.0001000931,0.00008255069,0.00006278932,0.0001083556],"domain_scores_gemma":[0.9998187,0.00001350576,0.00001084048,0.0001171159,0.00001684448,0.00002299492],"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":[0.00001054134,0.000008536878,0.00007747507,0.00000948327,0.00003974669,0.000001103284,0.0007097162,0.001024501,0.9974189,0.00003934748,0.0001011732,0.0005594696],"study_design_scores_gemma":[0.0001781685,0.0000385705,0.00001589308,0.00001234486,0.00001149397,4.146085e-7,0.00008325736,0.001412111,0.9969199,0.00006948047,0.001179018,0.00007930993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982673,0.0001828963,0.00003015757,0.00002261914,0.0001771856,0.000026815,0.00003104037,0.0001351352,0.001126874],"genre_scores_gemma":[0.999512,0.00003300668,0.0001350297,0.00001143436,0.0001363533,0.00000501355,0.00004787968,0.0000165675,0.0001027286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124471,"threshold_uncertainty_score":0.2926313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006113335980898135,"score_gpt":0.1771050941725593,"score_spread":0.1709917581916611,"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."}}