{"id":"W2770959897","doi":"10.1016/j.renene.2017.11.022","title":"A novel process economics risk model applied to biodiesel production system","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodiesel production; Economics; Biodiesel; Vector autoregression; Process (computing); Production (economics); Econometrics; Engineering; Computer science; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001121449,0.0001668362,0.0001743038,0.00008482172,0.0005170281,0.0001245356,0.0003036218,0.00008609143,0.00000386044],"category_scores_gemma":[0.00002168425,0.0001757444,0.00003615192,0.00008267545,0.0000372036,0.0001508882,0.00004652756,0.00007020853,0.00004076916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212113,"about_ca_system_score_gemma":0.00003537052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009808262,"about_ca_topic_score_gemma":0.0005358372,"domain_scores_codex":[0.9991236,0.000003133261,0.0002006813,0.0003621658,0.00006993901,0.0002405116],"domain_scores_gemma":[0.9988964,0.000003969055,0.00008915849,0.0008375778,0.00006004828,0.0001128088],"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":[0.000006536134,0.00001913213,0.0000111933,0.00005884581,0.00002673498,4.469299e-8,0.00008045131,0.9782128,0.01385616,0.002971221,0.002593961,0.002162879],"study_design_scores_gemma":[0.0002508005,0.000008501293,0.00006440122,0.00002590296,0.00002954476,0.000008468726,0.0002160401,0.7927522,0.1660639,0.0008422345,0.03933892,0.0003990457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1058638,0.0001898889,0.7745754,0.001037448,0.001808573,0.0006537632,0.0001562863,0.001982178,0.1137327],"genre_scores_gemma":[0.9921395,0.0001622066,0.00462298,0.00002680329,0.0004292669,0.0003674953,0.00001381653,0.00004081319,0.002197148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8862756,"threshold_uncertainty_score":0.7166647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731865453637513,"score_gpt":0.2121114440694502,"score_spread":0.194792789533075,"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."}}