{"id":"W4411132957","doi":"10.1016/j.biombioe.2025.108057","title":"Molasses to energy: Techno-economic and environmental assessment of co-production of bioethanol and synthetic natural gas","year":2025,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Kathmandu University","keywords":"Biofuel; Production (economics); Natural gas; Environmental science; Waste management; Natural resource economics; Biochemical engineering; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006259097,0.0001126333,0.0001513328,0.0001913451,0.00003572259,0.00001146424,0.00004033241,0.00007446576,0.000007454915],"category_scores_gemma":[0.000002585794,0.00009821769,0.0000205735,0.00007275657,0.0001536703,0.00005215635,0.00005101592,0.00003249535,2.037438e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003458243,"about_ca_system_score_gemma":0.000008014431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484197,"about_ca_topic_score_gemma":0.00001171912,"domain_scores_codex":[0.999465,0.00001079191,0.0001615602,0.0002155359,0.00005257195,0.00009457385],"domain_scores_gemma":[0.9997966,0.000008838923,0.00003342973,0.000117583,0.000006122438,0.00003736918],"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":[0.00001302933,0.00002058507,0.002559789,0.0001644053,0.0000423078,3.013456e-7,0.00001189763,0.00002023976,0.9732837,0.0006085347,0.0002020713,0.02307312],"study_design_scores_gemma":[0.000194307,0.00008589351,0.005862793,0.00004082131,0.00002240272,0.0000101101,0.0001680622,0.002888095,0.9809176,0.00006973128,0.009614995,0.0001251957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967406,0.002006409,0.0001269306,0.0004268579,0.0003933868,0.00006793406,0.00002198702,0.00003569958,0.0001801485],"genre_scores_gemma":[0.9975342,0.001830119,0.0004463563,0.00001457491,0.00002700034,0.00000507912,0.0000115989,0.000006774937,0.000124345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02294793,"threshold_uncertainty_score":0.4005201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005059180378708005,"score_gpt":0.2160751247046526,"score_spread":0.2110159443259446,"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."}}