{"id":"W182739829","doi":"10.1007/978-3-319-10500-0_3","title":"The E Factor and Process Mass Intensity","year":2014,"lang":"en","type":"book-chapter","venue":"Springer briefs in molecular science","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Process engineering; Biochemical engineering; Process (computing); Homogeneous; Environmental science; Computer science; Engineering; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002770219,0.0002065482,0.0001599116,0.00002236259,0.0001447326,0.00008913742,0.0006486461,0.0001121348,0.00008958755],"category_scores_gemma":[0.0001264754,0.000167997,0.00003972199,0.00008912714,0.001308424,0.0000654391,0.0004346698,0.0003919851,0.00003267358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143292,"about_ca_system_score_gemma":0.0000215922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001037699,"about_ca_topic_score_gemma":0.000004421332,"domain_scores_codex":[0.9984504,0.00000260455,0.0001736597,0.0005459636,0.0004985032,0.0003288549],"domain_scores_gemma":[0.9993601,0.00002873017,0.00006664092,0.0003949796,0.00001551598,0.0001340207],"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":[0.00001555518,0.000009011932,0.001028609,0.00008783599,0.00001111292,0.00008410628,0.0001833426,0.001029347,0.9736847,0.008746581,0.00006274055,0.01505709],"study_design_scores_gemma":[0.0003689734,0.00004146183,0.003574391,0.0003862206,0.00002508784,0.00006662242,0.0000203924,0.005877236,0.8673655,0.02657128,0.09411709,0.00158575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2851927,0.0004924642,0.00674169,0.0005257828,0.0003835582,0.0004476649,0.000006072602,0.0001191654,0.7060909],"genre_scores_gemma":[0.98199,0.00005226892,0.0005274067,0.0001941359,0.00003087862,0.000006733933,6.764477e-7,0.00002630916,0.0171716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6967973,"threshold_uncertainty_score":0.685072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003899117164330025,"score_gpt":0.1897767982927908,"score_spread":0.1858776811284608,"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."}}