{"id":"W4225319021","doi":"10.1002/tcr.202200022","title":"Liquid Phase Oxidation of Hydrocarbons to High‐Value Chemicals in Microfluidic Reactors – Prospects and Challenges","year":2022,"lang":"en","type":"review","venue":"The Chemical Record","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"King Fahd University of Petroleum and Minerals","keywords":"Petrochemical; Microfluidics; Radical; Hydrocarbon; Microreactor; Process engineering; Process (computing); Chemistry; Selectivity; Batch reactor; Nanotechnology; Biochemical engineering; Materials science; Organic chemistry; Catalysis; Engineering; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0005226853,0.0003938603,0.001043184,0.0002822804,0.00002440614,0.00001162735,0.0004202864,0.000271933,0.00004205349],"category_scores_gemma":[0.0001877355,0.000319269,0.0001073426,0.0009752506,0.00009736104,0.00005130852,0.0002131443,0.0006505378,0.000005157537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078521,"about_ca_system_score_gemma":0.00005764371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001883319,"about_ca_topic_score_gemma":1.495862e-7,"domain_scores_codex":[0.9982088,0.00005028849,0.0008712118,0.0003779739,0.0002011538,0.0002905885],"domain_scores_gemma":[0.9990497,0.0002215087,0.0001895863,0.0004614262,0.00002602313,0.00005173639],"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":[0.00001910254,0.00005530015,7.752536e-8,0.003149303,0.00004981821,0.000002181865,0.0001359502,2.270131e-8,0.3978712,0.001514352,0.0008093326,0.5963933],"study_design_scores_gemma":[0.0001522779,0.00008391175,1.471411e-7,0.001312501,0.00006792409,0.00001015699,0.00001503111,0.000002274953,0.3328982,0.0003651915,0.6648309,0.0002615482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02257857,0.975013,0.0003070947,0.00008077658,0.0001616737,0.0010205,0.00003865625,0.0001662411,0.0006335027],"genre_scores_gemma":[0.008751522,0.9901916,0.0001893554,0.00002805587,0.00009538196,0.0003989888,0.0002395961,0.00008850999,0.00001696484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6640216,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04862191704149695,"score_gpt":0.3013776841553767,"score_spread":0.2527557671138798,"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."}}