{"id":"W2472294358","doi":"10.1007/978-981-287-496-2_1","title":"Chemical Engineering from Technology to Engineering","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Normative; Process (computing); Subject (documents); Engineering; Engineering design process; Engineering ethics; Computer science; Epistemology; Mechanical engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003502415,0.0003436058,0.0003259152,0.000386963,0.000009891484,0.00004068037,0.0001999988,0.0005714066,0.001121479],"category_scores_gemma":[0.0000417896,0.0003863282,0.00005637056,0.00007698473,0.000007641548,0.00009685,0.00004846418,0.0004933301,0.001319323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434932,"about_ca_system_score_gemma":0.00002387761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002037394,"about_ca_topic_score_gemma":0.000002004478,"domain_scores_codex":[0.9990501,4.246772e-7,0.0002895705,0.0002570543,0.0001927799,0.0002101096],"domain_scores_gemma":[0.9993935,0.00003254835,0.00002123718,0.000268861,0.00009320112,0.0001906676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001471094,0.00001791581,0.000003196848,0.0002972603,0.0005383033,0.00007442851,0.000192652,0.2878068,0.1611157,0.3182369,0.2213926,0.01030958],"study_design_scores_gemma":[0.00009212153,0.000007965128,3.764988e-7,0.00007866631,0.0000192475,0.000009765693,0.000003585634,0.01459267,0.01369333,0.0009015056,0.9701278,0.0004729671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002981602,0.002162132,0.05119113,0.0002817393,0.001262958,0.0002624932,0.00005590811,0.00494703,0.9395385],"genre_scores_gemma":[0.03497832,0.0002154268,0.04466773,0.000235556,0.00165046,0.0001169651,0.0002952788,0.0007090411,0.9171312],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7487352,"threshold_uncertainty_score":0.9998589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467752970813453,"score_gpt":0.2278241839965591,"score_spread":0.2131466542884245,"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."}}