{"id":"W2470312821","doi":"10.2533/chimia.2015.698","title":"12. Freiburger Symposium 2015: Smart Solutions in the Chemical Process &amp; Product Development – Case Studies from the Chemical Industry","year":2015,"lang":"en","type":"article","venue":"CHIMIA International Journal for Chemistry","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Product (mathematics); Process (computing); Process development; Process engineering; Computer science; Environmental science; Biochemical engineering; Chemistry; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327738,0.0008915085,0.0002576382,0.0009418964,0.00140248,0.002844712,0.000721005,0.002455465,0.01550223],"category_scores_gemma":[0.0007885044,0.0001987254,0.0003701753,0.0006871314,0.0007671374,0.002197773,0.001406465,0.001138399,0.0064823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203269,"about_ca_system_score_gemma":0.001325416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654915,"about_ca_topic_score_gemma":0.004026748,"domain_scores_codex":[0.9987144,0.0003516078,0.00003411283,0.0001086743,0.000589719,0.0002014225],"domain_scores_gemma":[0.9996668,0.00007484487,0.00002530126,0.00002935392,0.0001189384,0.00008485145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005818583,0.00146664,0.001918918,0.001368973,0.0000243603,0.005161328,0.002409356,0.004966352,0.06219544,0.05802819,0.08978809,0.7720906],"study_design_scores_gemma":[0.0000356837,0.001316337,0.001840994,0.0004373109,0.00002418617,0.002074027,0.001523394,0.002632812,0.07065698,0.004491101,0.9149109,0.00005616705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2199135,0.09022723,0.03837438,0.0174562,0.002988263,0.0008530966,0.0005865265,0.0006475636,0.6289531],"genre_scores_gemma":[0.5546079,0.06369869,0.07599691,0.002663106,0.0006898326,0.0003331127,0.0007882089,0.0003096574,0.3009126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01550223,"threshold_uncertainty_score":0.05186015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05125175274333017,"score_gpt":0.3090869036531016,"score_spread":0.2578351509097714,"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."}}