{"id":"W4249232240","doi":"10.1002/cjce.5450810615","title":"Errata","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001064365,0.00005924346,0.00006994663,0.00006374514,0.00002100213,0.0000362303,0.0001220539,0.00003795903,0.00008292813],"category_scores_gemma":[0.0001777956,0.00004447332,0.00003167884,0.0001201947,0.00001337498,0.00009058204,9.577946e-7,0.0001979162,0.000004926672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008739044,"about_ca_system_score_gemma":0.0001028113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274632,"about_ca_topic_score_gemma":0.00003850116,"domain_scores_codex":[0.999644,0.000003411796,0.0001423172,0.00002349512,0.00006237358,0.0001243862],"domain_scores_gemma":[0.9996784,0.00001551758,0.00001705857,0.00006158874,0.00005376269,0.0001736126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001069375,0.000002004442,0.0000340582,0.00002342124,0.00004071264,0.00001041975,0.000295298,0.943393,0.03844844,0.01111058,0.006053427,0.0005875698],"study_design_scores_gemma":[0.0003947476,0.00001846721,0.00003010917,0.00009632586,0.00003104475,0.0004039723,0.00003369881,0.3533624,0.5671733,0.0007038128,0.07742912,0.0003229539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6445115,0.0108194,0.2692097,0.002068605,0.005660307,0.0003413596,0.00001782082,0.0003516097,0.06701975],"genre_scores_gemma":[0.9987729,0.000003922676,0.00108389,0.00004394294,0.00005906271,6.625548e-7,6.158388e-7,0.00001289517,0.00002206928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5900306,"threshold_uncertainty_score":0.1813569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006461430211756458,"score_gpt":0.1666401098865568,"score_spread":0.1601786796748003,"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."}}