{"id":"W3084689251","doi":"10.1007/s41981-020-00111-8","title":"The impact of microfluidic reactor configuration on hydrodynamics, conversion and selectivity during indan oxidation","year":2020,"lang":"en","type":"article","venue":"Journal of Flow Chemistry","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microreactor; Selectivity; Chemistry; Batch reactor; Mixing (physics); Continuous stirred-tank reactor; Oxygen; Volumetric flow rate; Continuous reactor; Chemical engineering; Analytical Chemistry (journal); Materials science; Organic chemistry; Catalysis; Thermodynamics; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004138446,0.0002261282,0.0001894533,0.0001478582,0.0002289913,0.0005730366,0.0002303075,0.0002152729,0.0008420135],"category_scores_gemma":[0.0007553186,0.000196335,0.0001426618,0.0001355831,0.0002331047,0.0004308358,0.000172667,0.0002570684,0.0001682151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433471,"about_ca_system_score_gemma":0.0003366492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006501318,"about_ca_topic_score_gemma":0.001482545,"domain_scores_codex":[0.9998149,0.00003432016,0.0000135602,0.00003744042,0.00005028928,0.0000494947],"domain_scores_gemma":[0.9996542,0.0001939412,0.00006211719,0.00002088579,0.00004577675,0.00002309315],"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":[0.0004014722,0.00004257862,0.0005707291,0.00004352711,0.000008232176,0.00004989086,0.00004634295,0.0004296247,0.9916005,0.0001201011,0.0001041206,0.006582894],"study_design_scores_gemma":[0.000008391727,0.0002054378,0.002613789,0.000003003109,0.00001477845,0.00004028233,0.0000265811,0.002730141,0.9938325,0.00002229672,0.0004939346,0.000008760854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972739,0.0005740444,0.001154331,0.00006066055,0.00004090711,0.000007757208,0.00003916528,0.00003142841,0.0008179083],"genre_scores_gemma":[0.9981341,0.000318876,0.0009121803,0.00002590551,0.00001556116,0.000005523793,0.00002858567,0.000008634466,0.0005506382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008420135,"threshold_uncertainty_score":0.002816796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006462989672564261,"score_gpt":0.2166047609420203,"score_spread":0.2101417712694561,"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."}}