{"id":"W3193658759","doi":"10.5383/ijtee.07.02.002","title":"Solar Assisted Gasification of Solid Feedstock: Optical Arrangement and Numerical Simulation","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combustion; Solar furnace; Syngas; Materials science; Raw material; Combustibility; Process engineering; Solar energy; Wood gas generator; Nuclear engineering; Chemical engineering; Thermodynamics; Environmental science; Waste management; Chemistry; Physics; Hydrogen; Engineering; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569457,0.00035941,0.0005106868,0.0003263704,0.0005500944,0.0007198252,0.000686196,0.001010101,0.002380007],"category_scores_gemma":[0.000360407,0.000254649,0.0005137025,0.000702572,0.0004498147,0.0004597722,0.0004271704,0.0003807066,0.0002186857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081886,"about_ca_system_score_gemma":0.0007756655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320495,"about_ca_topic_score_gemma":0.008001042,"domain_scores_codex":[0.999892,0.00001311215,0.000004427716,0.00001701619,0.00004876579,0.00002473186],"domain_scores_gemma":[0.9998397,0.00007029438,0.00002575786,0.00001745818,0.00003580339,0.00001103915],"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":[0.00004363511,0.00006684426,0.001016864,0.00006886491,0.000007371872,0.00006898764,0.00003671815,0.9857129,0.006985678,0.002277064,0.0001642923,0.003550744],"study_design_scores_gemma":[0.000006386047,0.00001232221,0.0001626386,0.000002509731,0.000001467909,0.000008830058,0.00001191525,0.9978197,0.001541429,0.0001685659,0.0002605186,0.000003759469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804693,0.000613913,0.1394096,0.0003468102,0.0001035379,0.0002734895,0.001493784,0.0005536613,0.05251211],"genre_scores_gemma":[0.9627615,0.0002608624,0.03196038,0.0000339134,0.00001027118,0.00016454,0.0002996452,0.00003844456,0.004470517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320495,"threshold_uncertainty_score":0.0262562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005829360485011789,"score_gpt":0.1985741324320194,"score_spread":0.1927447719470076,"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."}}