{"id":"W1496091444","doi":"10.1016/b978-0-444-54298-4.50054-4","title":"Techno-Economic Assessment and Risk Analysis of Biorefinery Processes","year":2011,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biorefinery; Process (computing); Risk analysis (engineering); Process design; Engineering; Biochemical engineering; Computer science; Work in process; Biofuel; Business; Waste management; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001055974,0.001023621,0.000921499,0.00145162,0.0003586245,0.002128433,0.001248986,0.001155527,0.002363332],"category_scores_gemma":[0.001798011,0.0005044033,0.001251159,0.00162007,0.0008162705,0.001459142,0.0007903301,0.001115593,0.0004395912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023878,"about_ca_system_score_gemma":0.000960379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052595,"about_ca_topic_score_gemma":0.002713976,"domain_scores_codex":[0.9990582,0.0002569999,0.00002406829,0.00004942117,0.0005634226,0.00004784325],"domain_scores_gemma":[0.9994831,0.0003680557,0.0000245074,0.00003049187,0.00008290596,0.00001083807],"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":[0.00006597421,0.00008765657,0.0006398829,0.0002443313,0.00007733459,0.0001273577,0.00003824205,0.7720557,0.004554559,0.09772383,0.002456644,0.1219284],"study_design_scores_gemma":[0.00000800738,0.00004614146,0.0007431623,0.00004948892,0.00003268386,0.00009885347,0.00002941841,0.8816974,0.004048961,0.1046604,0.008559912,0.00002567552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03962972,0.02077499,0.8576415,0.001489993,0.0003227839,0.0001221838,0.0002739484,0.0002950346,0.07945],"genre_scores_gemma":[0.7656509,0.02232912,0.1526121,0.0001582393,0.0004434614,0.0002869935,0.0005515583,0.0003159287,0.05765169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002363332,"threshold_uncertainty_score":0.01468432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007391273601852328,"score_gpt":0.1884565772811021,"score_spread":0.1810653036792498,"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."}}