{"id":"W4393307086","doi":"10.1016/j.enconman.2024.118302","title":"Developing a hybridized thermodynamic and data-driven model for catalytic supercritical water gasification of biomass for hydrogen production","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Supercritical fluid; Hydrogen production; Biomass (ecology); Catalysis; Hydrogen; Chemistry; Biomass gasification; Thermodynamics; Production (economics); Waste management; Environmental science; Process engineering; Chemical engineering; Organic chemistry; Engineering; Biofuel; Physics; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005839518,0.0005896874,0.0009083897,0.0003838715,0.0007316895,0.001162151,0.001867872,0.002299682,0.003994016],"category_scores_gemma":[0.001532716,0.0006679642,0.00126788,0.0003789589,0.000972783,0.001164675,0.001195123,0.001400182,0.0005054281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401926,"about_ca_system_score_gemma":0.002397433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675986,"about_ca_topic_score_gemma":0.01782988,"domain_scores_codex":[0.9998467,0.00004458883,0.000007424345,0.00002561566,0.0000442556,0.0000314257],"domain_scores_gemma":[0.9994998,0.0002876351,0.00002948143,0.0000383115,0.0001038917,0.00004093692],"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":[0.00001554972,0.00002229052,0.0001612141,0.00001952549,0.0000113088,0.00003634792,0.00001702459,0.9923167,0.0009793594,0.005181964,0.0001195949,0.001118992],"study_design_scores_gemma":[0.000003289268,0.000002803739,0.00001621224,8.391252e-7,0.000001283813,0.000001416138,0.000002175608,0.9991267,0.000120473,0.000625286,0.00009799035,0.000001486148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1739871,0.0005236457,0.7898044,0.00109481,0.0002376957,0.0002424844,0.000584783,0.0007095221,0.03281565],"genre_scores_gemma":[0.9344867,0.000213753,0.05188048,0.0001963319,0.00004659162,0.0003631455,0.0003700932,0.0002227778,0.01222003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02675986,"threshold_uncertainty_score":0.05320823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089845109720656,"score_gpt":0.2531142495155304,"score_spread":0.2222157984183238,"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."}}