{"id":"W3114236652","doi":"","title":"Innovative Canadian Process Technology For Biodiesel Production","year":2010,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Biodiesel; Renewable energy; Biodiesel production; Process (computing); Production (economics); Yield (engineering); Product (mathematics); Waste management; Natural resource economics; Quality (philosophy); Business; Environmental economics; Environmental science; Process engineering; Engineering; Economics; Computer science; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005524186,0.0009770896,0.0003387791,0.002581075,0.002994321,0.00150076,0.001046184,0.0008765461,0.009564543],"category_scores_gemma":[0.0006023056,0.0003614649,0.0006123086,0.003439434,0.0006372119,0.001244255,0.001061945,0.001535681,0.002398458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01162751,"about_ca_system_score_gemma":0.01878329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.480089,"about_ca_topic_score_gemma":0.6713266,"domain_scores_codex":[0.9984456,0.00002859699,0.00002993762,0.0001388904,0.001236254,0.0001206554],"domain_scores_gemma":[0.999692,0.00001078307,0.00001398485,0.00001254547,0.0002463717,0.00002446824],"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":[0.000347293,0.0002534447,0.00105521,0.002252326,0.00004217726,0.0009229882,0.000774948,0.003592129,0.5307168,0.09320787,0.04287983,0.323955],"study_design_scores_gemma":[0.00008326383,0.0001426043,0.002503326,0.0001480357,0.00006610511,0.0007448353,0.0001714473,0.004928865,0.2689035,0.00317817,0.7190303,0.00009961176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1081047,0.05439104,0.2390876,0.006849909,0.003932801,0.002184803,0.00509506,0.002631395,0.5777228],"genre_scores_gemma":[0.3486738,0.07660429,0.2446453,0.001485439,0.0002570818,0.0008457449,0.00370055,0.0004993208,0.3232885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5199111,"threshold_uncertainty_score":0.9545891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036492824208801,"score_gpt":0.2267930034629815,"score_spread":0.2164280752208934,"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."}}