{"id":"W7045827372","doi":"","title":"Catalytic decomposition of ammonia and tar for hot gas cleanup in biomass gasification using activated carbon supported catalysts and natural limonite ores","year":2012,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Syngas; tar (computing); Ammonia; Catalysis; Activated carbon; Decomposition; Biomass (ecology); Data scrubbing; Methanol; Integrated gasification combined cycle","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001319883,0.0002687884,0.0003894228,0.0009955077,0.000148328,0.00003267633,0.0001879912,0.0001454574,0.00009227403],"category_scores_gemma":[0.00001031925,0.0003152082,0.00007393055,0.0006146976,0.00009582193,0.00008342443,0.0000916058,0.0002533835,9.594834e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007958698,"about_ca_system_score_gemma":0.0001832655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577471,"about_ca_topic_score_gemma":0.1081078,"domain_scores_codex":[0.9988066,0.000100498,0.000288345,0.000359012,0.0001307564,0.0003147885],"domain_scores_gemma":[0.998915,0.0001681031,0.000256646,0.0002557992,0.0002796093,0.0001248378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001739311,0.001104635,0.2496644,0.001576798,0.0003998853,0.00001155938,0.004183828,0.000001756795,0.5935359,0.001822642,0.0001655407,0.1457937],"study_design_scores_gemma":[0.004304799,0.0002335347,0.839384,0.0008381082,0.0007316655,0.00000306794,0.003213216,0.00389057,0.1409566,0.00007516576,0.005444268,0.0009250739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989708,0.0003836029,0.00002061525,0.00002791599,0.0001213808,0.0008408949,0.0001110426,0.00001631068,0.008770224],"genre_scores_gemma":[0.9944847,0.000002927999,0.00003857241,1.276123e-7,0.00003655909,0.000007259722,0.003228991,0.00002345737,0.002177421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5897195,"threshold_uncertainty_score":0.99993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130821770854353,"score_gpt":0.2834448299664578,"score_spread":0.2621366122579143,"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."}}