{"id":"W3194690508","doi":"10.1016/j.dib.2021.107323","title":"Low-temperature thermal hydrolysis of sludge prior to anaerobic digestion: Principal component analysis (PCA) of experimental data","year":2021,"lang":"en","type":"article","venue":"Data in Brief","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; University of Alberta","funders":"","keywords":"Principal component analysis; Chemistry; Anaerobic digestion; Fermentation; Hydrolysis; Digestion (alchemy); Activated sludge; Chemical oxygen demand; Wastewater; Chromatography; Methane; Food science; Pulp and paper industry; Environmental science; Biochemistry; Environmental engineering; Computer science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001202285,0.0009482504,0.0006931383,0.001158086,0.0005779796,0.0007679972,0.0002855588,0.0004158389,0.001147403],"category_scores_gemma":[0.002548024,0.0001703657,0.0008327485,0.002348249,0.0007055263,0.0004633156,0.0003388586,0.0009280302,0.0004570619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742593,"about_ca_system_score_gemma":0.0005123466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545465,"about_ca_topic_score_gemma":0.001530515,"domain_scores_codex":[0.998514,0.0003063774,0.0001318534,0.00039597,0.0005505307,0.0001012097],"domain_scores_gemma":[0.9984832,0.0004772831,0.0001729639,0.0002349697,0.0005878196,0.00004377001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009671485,0.0009404373,0.02264122,0.001109695,0.0002282398,0.0001973711,0.0007972792,0.004097014,0.8573784,0.0003318298,0.0006532142,0.1106581],"study_design_scores_gemma":[0.00003260592,0.001855225,0.3993739,0.00009629459,0.000367153,0.0006843104,0.0008567171,0.03131431,0.5574848,0.001065092,0.006655872,0.0002136422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037474,0.001370699,0.08832721,0.0001085577,0.000106419,0.0003861215,0.003275962,0.0003940462,0.002283515],"genre_scores_gemma":[0.8965192,0.001521341,0.0948633,0.00006738365,0.00005359919,0.0007901894,0.005000854,0.0001732168,0.001010821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001545465,"threshold_uncertainty_score":0.006358385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371782326986313,"score_gpt":0.2633590513832761,"score_spread":0.239641228113413,"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."}}