{"id":"W2051747422","doi":"10.1016/j.biortech.2007.01.004","title":"Fermentative hydrogen gas production using biosolids pellets as the inoculum source","year":2007,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydromantis Environmental Software Solutions (Canada)","funders":"","keywords":"Biosolids; Pellets; Wastewater; Pulp and paper industry; Waste management; Chemistry; Hydrogen production; Anaerobic digestion; Sewage treatment; Sewage sludge; Hydrogen; Environmental science; Food science; Methane; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003150939,0.0001939685,0.0001389623,0.0003548091,0.0002139654,0.00001928076,0.0002309762,0.0002375597,0.00004596091],"category_scores_gemma":[0.00006948783,0.0001541564,0.0000522657,0.0008110937,0.0003497104,0.00006254872,0.00006954073,0.0002895951,0.0001440841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386255,"about_ca_system_score_gemma":0.00001260907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003782729,"about_ca_topic_score_gemma":0.00001677091,"domain_scores_codex":[0.9988984,0.00002126374,0.0002377456,0.0002962798,0.0001559541,0.0003903062],"domain_scores_gemma":[0.9994592,0.00001178299,0.00006341582,0.0003640263,0.00005186485,0.00004970434],"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":[0.00006743941,0.0001383973,0.005821645,0.00002730789,0.0002070111,0.00003024694,0.002347581,0.009208615,0.8983049,0.008935157,0.003187446,0.0717242],"study_design_scores_gemma":[0.0002754361,0.0001190616,0.0007632662,0.00003140933,0.00005183281,0.0004472991,0.00433671,0.001134741,0.8108782,0.000799341,0.1807892,0.0003735451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990952,0.0003820965,0.002856417,0.002964691,0.0003693547,0.0003044353,0.000001061759,0.00122599,0.000943964],"genre_scores_gemma":[0.9983711,0.00005436658,0.0006560544,0.0001085516,0.0002802981,0.00000903892,0.000005782469,0.000038386,0.0004764475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776018,"threshold_uncertainty_score":0.6286315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009530525832695131,"score_gpt":0.234505133231738,"score_spread":0.2249746073990429,"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."}}