{"id":"W2114440652","doi":"10.1002/cjce.21926","title":"A modified thermodynamic equilibrium model for woody biomass gasification","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Syngas; Methane; Biomass (ecology); Thermodynamics; Thermodynamic equilibrium; Biomass gasification; Yield (engineering); Component (thermodynamics); Environmental science; Chemistry; Geology; Catalysis; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000131298,0.0001669691,0.0001890845,0.0001313558,0.00003119258,0.00007587781,0.0004722828,0.0001207256,0.00003310904],"category_scores_gemma":[0.0001259314,0.0001321752,0.0001162593,0.000173522,0.00004860462,0.0001962551,0.00001080982,0.0002184213,0.000009491253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355204,"about_ca_system_score_gemma":0.0001452472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009427939,"about_ca_topic_score_gemma":0.00001169896,"domain_scores_codex":[0.999085,0.000004269049,0.0003267954,0.00009126847,0.0001298922,0.0003627611],"domain_scores_gemma":[0.99912,0.00009833708,0.00006343683,0.0001837628,0.0001633999,0.0003710703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003771321,0.000002512444,0.000002324221,0.00006894467,0.00004209019,9.294321e-7,0.0001210236,0.045048,0.9534891,0.0002481498,0.0005068349,0.0004662987],"study_design_scores_gemma":[0.0001682663,0.000005586562,0.000005282478,0.00002606459,0.00001648146,0.00001733338,0.000005115907,0.6140741,0.384623,0.0009099098,0.00003444231,0.0001144146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818012,0.000372395,0.01665293,0.0006064688,0.0001899832,0.0001995698,0.00001214803,0.00006901588,0.00009625888],"genre_scores_gemma":[0.9985812,0.000001391537,0.001173714,0.00003536685,0.0001036325,0.00002664718,0.000004725681,0.00005066878,0.00002267397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5690261,"threshold_uncertainty_score":0.5389949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217650445309949,"score_gpt":0.1861236033015642,"score_spread":0.1739470988484648,"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."}}