{"id":"W4407776765","doi":"10.20944/preprints202502.1670.v1","title":"Energy of the Chain’s Service Area Size of Biomethane Recovery","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Biogas; Service (business); Energy (signal processing); Business; Chain (unit); Environmental science; Waste management; Engineering; Marketing; Mathematics; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008788761,0.0003329977,0.0003253636,0.0008415643,0.000623331,0.001907128,0.0008365238,0.0007933654,0.01184413],"category_scores_gemma":[0.001791156,0.0003013251,0.0008262423,0.001246969,0.0006951447,0.00187288,0.0009086984,0.0005780127,0.0004978504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003502876,"about_ca_system_score_gemma":0.002037033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03761693,"about_ca_topic_score_gemma":0.0363395,"domain_scores_codex":[0.9995292,0.0001064668,0.00001519235,0.00007945453,0.0001193746,0.0001502521],"domain_scores_gemma":[0.9990239,0.0005720237,0.0001077157,0.00005952162,0.0001716636,0.00006532317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003679944,0.0001371688,0.02781888,0.0002270006,0.00009415865,0.0008063572,0.0002940528,0.8454273,0.009847919,0.07689619,0.002011476,0.03607158],"study_design_scores_gemma":[0.00003156272,0.0003573877,0.03219917,0.00009955201,0.0001268135,0.0004959292,0.002325974,0.8994909,0.008021773,0.04228289,0.0145008,0.00006732012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454409,0.0006369121,0.08979652,0.000940192,0.00005272078,0.0001878429,0.002166612,0.0001030098,0.06067527],"genre_scores_gemma":[0.9836631,0.0002492202,0.003869923,0.00002035855,0.000004616448,0.00005774956,0.00043166,0.00002320744,0.01168021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03761693,"threshold_uncertainty_score":0.07479596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05765544313608248,"score_gpt":0.2935742576384771,"score_spread":0.2359188145023946,"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."}}