{"id":"W4388741651","doi":"10.1016/j.seta.2023.103535","title":"Techno-economic assessment of a biomass gasification-based polygeneration system for greenhouses","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Technologies and Assessments","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRNSYS; Environmental science; Net present value; Greenhouse gas; Biomass (ecology); Process engineering; Payback period; Capital cost; Profitability index; Waste management; Environmental engineering; Engineering; Economics; Mathematics; Production (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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011227,0.000154346,0.000191903,0.0002958526,0.00009751414,0.00004192273,0.0002322691,0.000165857,0.000003237638],"category_scores_gemma":[0.0000278611,0.0001573817,0.00004528358,0.0004418464,0.00007647667,0.0001196154,0.00009092322,0.00005051047,9.620823e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779136,"about_ca_system_score_gemma":0.00009289072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005802009,"about_ca_topic_score_gemma":0.000003706725,"domain_scores_codex":[0.9991166,0.000006134274,0.0002477726,0.0002367001,0.0001032581,0.0002895532],"domain_scores_gemma":[0.9994979,0.00007547063,0.00009033921,0.0002300121,0.00007562309,0.00003064697],"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":[0.00004014592,0.00005795906,0.002402655,0.005429886,0.0002706094,0.00002051798,0.00001765466,0.007447553,0.5495412,0.3556588,0.002659695,0.07645333],"study_design_scores_gemma":[0.000403096,0.00009515877,0.0001008006,0.00003528634,0.00002188253,8.040671e-7,0.004988791,0.1357707,0.8549718,0.001610481,0.001810807,0.0001903708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647587,0.0004658869,0.2231232,0.001001055,0.0002554547,0.0005564413,0.0001109571,0.008837325,0.0008909467],"genre_scores_gemma":[0.9961811,0.00007702028,0.00321343,0.000005541982,0.00001134205,0.0003458872,0.00006494098,0.00003356538,0.0000672126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540483,"threshold_uncertainty_score":0.6417839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008647481313581439,"score_gpt":0.2484791508912186,"score_spread":0.2398316695776371,"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."}}