{"id":"W2795916647","doi":"10.1016/j.jenvman.2018.03.113","title":"Characterisation and cleaning of biogas from sewage sludge for biomethane production","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Canadian Rheumatology Association","keywords":"Biogas; Biogas production; Environmental science; Waste management; Sewage sludge; Sewage; Production (economics); Bioenergy; Anaerobic digestion; Biofuel; Environmental engineering; Methane; Engineering; 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":[0.0001428369,0.00008078977,0.0001316951,0.0001781925,0.00001038941,0.000008507071,0.00007382746,0.00003700305,0.00002245488],"category_scores_gemma":[0.000009372275,0.00007675381,0.00004080653,0.00005447894,0.00007321981,0.0001331524,0.00004627459,0.00005092123,0.000002152191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008041129,"about_ca_system_score_gemma":5.940431e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.641982e-7,"about_ca_topic_score_gemma":7.513087e-7,"domain_scores_codex":[0.9994707,0.000005893977,0.000243781,0.00008281012,0.0001150027,0.00008184808],"domain_scores_gemma":[0.9997128,0.00001223751,0.0001416865,0.0001077496,0.000005548075,0.00001993955],"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":[0.00005069374,0.00003483917,0.000789899,0.00004297878,0.0001757072,0.000004333129,0.0002366662,0.00007905307,0.9552614,0.00007968386,0.000410433,0.04283433],"study_design_scores_gemma":[0.001082536,0.0005044781,0.213803,0.0001251456,0.0002143771,0.00002842527,0.001798783,0.0004580007,0.7686682,0.001060408,0.01202911,0.0002275523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964749,0.0003508425,0.002346909,0.00009130824,0.0003944709,0.0001762514,0.00001287019,0.00002929933,0.0001231312],"genre_scores_gemma":[0.9921256,0.0004432541,0.007223494,0.00001089375,0.00014673,0.000003945582,0.000004150841,0.00001407539,0.00002786786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2130131,"threshold_uncertainty_score":0.3129929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006389976343897924,"score_gpt":0.1847700675893834,"score_spread":0.1783800912454855,"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."}}