{"id":"W2903010511","doi":"10.1002/aic.16489","title":"The promise of artificial intelligence in chemical engineering: Is it here, finally?","year":2018,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":637,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Artificial intelligence; Computer science; Biochemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006258338,0.001000976,0.001201028,0.001282442,0.004674735,0.009450576,0.002156618,0.007664188,0.01323634],"category_scores_gemma":[0.009487429,0.0004807019,0.0006933077,0.00135155,0.0144264,0.02228134,0.003970203,0.01193623,0.003803811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093146,"about_ca_system_score_gemma":0.004517426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002592694,"about_ca_topic_score_gemma":0.00324499,"domain_scores_codex":[0.9969556,0.001220127,0.00008704892,0.0002583477,0.001130005,0.0003488794],"domain_scores_gemma":[0.9950418,0.002606589,0.000221748,0.0004480011,0.001029939,0.0006519618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001291915,0.00006471482,0.0004875443,0.0009113394,0.00002633406,0.0002135808,0.0006992261,0.0006859837,0.0006524786,0.7537167,0.1480248,0.09438812],"study_design_scores_gemma":[0.00001434627,0.00007251325,0.0002154346,0.0008669571,0.00001107313,0.0001699802,0.0007740284,0.0007881052,0.0004570787,0.4944885,0.5021027,0.00003936984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002207913,0.3138183,0.008667395,0.6024636,0.01428405,0.00002228035,0.0001133595,0.0001665876,0.05825641],"genre_scores_gemma":[0.1611841,0.5877174,0.01375615,0.1512002,0.03518171,0.0001598935,0.0002300408,0.0003329483,0.05023754],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01323634,"threshold_uncertainty_score":0.04427999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419514576406581,"score_gpt":0.2976703468166069,"score_spread":0.2734752010525411,"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."}}