{"id":"W1979961691","doi":"10.1016/j.ijhydene.2015.02.033","title":"Simulation and kinetic modeling of supercritical water gasification of biomass","year":2015,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Furfural; Chemistry; Supercritical fluid; Biomass (ecology); Yield (engineering); Hydrogen; Phenol; Pyrolysis; Chemical engineering; Catalysis; Thermodynamics; Organic 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":[0.0003053547,0.0006639507,0.0009503306,0.0006082478,0.0009306817,0.0009905442,0.00112736,0.001626812,0.002824758],"category_scores_gemma":[0.0009954263,0.0005139283,0.0008655904,0.0005795526,0.0007075065,0.0007055636,0.0005055915,0.0007828958,0.0002154273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415302,"about_ca_system_score_gemma":0.001831447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05056192,"about_ca_topic_score_gemma":0.02084738,"domain_scores_codex":[0.9998497,0.00002855626,0.000007720798,0.00001834311,0.00004237677,0.00005318782],"domain_scores_gemma":[0.9994234,0.0003499392,0.00004745985,0.00003048005,0.00009309342,0.00005577182],"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":[0.0000656201,0.00007527387,0.0009618392,0.00002387527,0.000014266,0.0000587411,0.00002929559,0.9942617,0.002248975,0.00097352,0.0001118112,0.001175132],"study_design_scores_gemma":[0.000009742174,0.00001666385,0.0002168007,0.000001307179,0.00000233616,0.000003927277,0.00001434302,0.9987296,0.000804436,0.0001089306,0.00008813648,0.000003742142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714305,0.000203321,0.01255266,0.0002921675,0.00008068,0.00007111218,0.0003547521,0.0001649948,0.01484957],"genre_scores_gemma":[0.9954058,0.00007750445,0.001937382,0.00002730607,0.000007063354,0.00003798865,0.0001665489,0.00002517495,0.002315101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05056192,"threshold_uncertainty_score":0.1005353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991991074594066,"score_gpt":0.262681283954993,"score_spread":0.2327613732090523,"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."}}