{"id":"W2974979860","doi":"10.31025/2611-4135/2019.13850","title":"DEVELOPMENT OF A MSW GASIFICATION MODEL FOR FLEXIBLE INTEGRATION INTO A MFA-LCA FRAMEWORK","year":2018,"lang":"en","type":"article","venue":"Detritus","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process engineering; Wood gas generator; Raw material; Environmental science; tar (computing); Char; Fluidized bed; Process (computing); Syngas; Pyrolysis; Waste management; Computer science; Engineering; Coal; 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":[0.0005646691,0.0009272944,0.0009615705,0.0004342975,0.0005840294,0.0009683934,0.001450002,0.001098643,0.004632107],"category_scores_gemma":[0.0006210973,0.0005240853,0.001391928,0.000469835,0.0002267548,0.0008899787,0.0007605177,0.000925049,0.001999658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008004272,"about_ca_system_score_gemma":0.001634399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009980375,"about_ca_topic_score_gemma":0.005380845,"domain_scores_codex":[0.9998503,0.00002530323,0.00001211233,0.00002868139,0.00006434423,0.00001925574],"domain_scores_gemma":[0.9998516,0.00004470188,0.00001080868,0.0000231358,0.00005717348,0.00001254186],"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":[0.00006529455,0.00006649613,0.001040105,0.0001576554,0.00004634552,0.0001184156,0.00005827951,0.9590451,0.01146312,0.006805477,0.000921667,0.02021199],"study_design_scores_gemma":[0.00001344077,0.00001629009,0.0002099576,0.00001025639,0.0000102077,0.00001408477,0.000009406435,0.9897639,0.003807019,0.001144028,0.004990123,0.00001135841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0523078,0.0001960555,0.9280301,0.0001584206,0.00007240157,0.0004259791,0.002495714,0.005850902,0.01046264],"genre_scores_gemma":[0.4839006,0.0005579854,0.4946192,0.00009628513,0.00005114679,0.002137936,0.005391261,0.001371911,0.01187366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009980375,"threshold_uncertainty_score":0.01984459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718840542539982,"score_gpt":0.2673418835313379,"score_spread":0.2401534781059381,"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."}}