{"id":"W1978988445","doi":"10.1021/ie020107q","title":"Hydrogen by Catalytic Steam Reforming of Liquid Byproducts from Biomass Thermoconversion Processes","year":2002,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":451,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Sherbrooke; U.S. Department of Energy","keywords":"Steam reforming; Biomass (ecology); Hydrogen production; Biofuel; Biomass to liquid; Naphtha; Waste management; Chemistry; Lignocellulosic biomass; Pulp and paper industry; Hydrogen; Catalysis; Chemical engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002180239,0.0002851882,0.0003370873,0.0002443166,0.0001399954,0.0003270703,0.0002737606,0.0001939276,0.00192907],"category_scores_gemma":[0.0002130411,0.0001208564,0.000312974,0.0002168116,0.0002673242,0.0006178987,0.0002915032,0.0005387597,0.0005168949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464468,"about_ca_system_score_gemma":0.0001897115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005088984,"about_ca_topic_score_gemma":0.0008495561,"domain_scores_codex":[0.9998646,0.00002581536,0.000009182103,0.00001675423,0.00004905916,0.00003455798],"domain_scores_gemma":[0.9999421,0.00001642548,0.000009449719,0.000009610602,0.00001477688,0.000007665618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001535308,0.00006671934,0.0002767867,0.0002405586,0.00001884545,0.0001169347,0.00006836905,0.0008605714,0.984141,0.001200432,0.0001129712,0.01274325],"study_design_scores_gemma":[0.000007639833,0.00006676961,0.00014111,0.000002201913,0.000003943465,0.00001714282,0.000006741254,0.001108901,0.9975275,0.00005857051,0.001057388,0.000002189995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501982,0.002501262,0.03804238,0.0001405564,0.00007358586,0.00009890574,0.0001969977,0.000296523,0.008451451],"genre_scores_gemma":[0.989476,0.0008352426,0.006646055,0.00002470255,0.00001459949,0.00002089747,0.0002095927,0.00004069748,0.002732137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00192907,"threshold_uncertainty_score":0.006453395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476979351342814,"score_gpt":0.2512845954044465,"score_spread":0.2035866602701651,"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."}}