{"id":"W2899145948","doi":"10.14288/1.0371603","title":"Development of a quantitative risk analysis approach to evaluate the economic performance of an industrial-scale biorefinery","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Economic and Business Development Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Quantitative analysis (chemistry); Biorefinery; Economic analysis; Risk analysis (engineering); Business; Economics; Engineering; Agricultural economics; Geography; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151776,0.0001284838,0.0004908764,0.0003475379,0.0009287216,0.000226086,0.0005156955,0.00006479369,0.0005469075],"category_scores_gemma":[0.00003205729,0.0001142421,0.00007729995,0.001524019,0.0001398835,0.0003521942,0.0001627736,0.00008063934,0.00007178022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695577,"about_ca_system_score_gemma":0.00033045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706033,"about_ca_topic_score_gemma":0.003395551,"domain_scores_codex":[0.998591,0.00003032077,0.0008343275,0.0003466204,0.00002845777,0.0001692606],"domain_scores_gemma":[0.9990165,0.00004427521,0.0004687218,0.0003440873,0.0000775993,0.00004881932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00326254,0.004031898,0.5346793,0.0002190711,0.02129554,5.638115e-7,0.06925258,0.1353516,0.0003431427,0.1278869,0.0838181,0.01985882],"study_design_scores_gemma":[0.005579598,0.001763574,0.5511972,0.00009713916,0.0009524628,0.000006783662,0.01584406,0.2958975,0.01048458,0.009385915,0.1063892,0.002402051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134509,0.000015918,0.002276666,0.00003216348,0.0001711368,0.0004161102,0.0001611633,0.000007498615,0.1834684],"genre_scores_gemma":[0.9549217,0.00003212339,0.03758713,0.00002530824,0.00004619926,0.0001733323,0.00003119829,0.00001378656,0.007169252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1762992,"threshold_uncertainty_score":0.714307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207338788524211,"score_gpt":0.2852661508356411,"score_spread":0.16453227198322,"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."}}