{"id":"W2965858364","doi":"10.1002/cjce.23615","title":"The effects of modes of hydrogen input and reactor configuration on reaction rate and H<sub>2</sub> efficiency in the catalytic hydrogenation of alkynol to alkenol","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Hydrogen; Residence time (fluid dynamics); Catalysis; Work (physics); Reaction rate; Materials science; Plug flow reactor model; Volumetric flow rate; Continuous stirred-tank reactor; Chemistry; Nuclear engineering; Continuous flow; Chemical engineering; Thermodynamics; Mechanics; Physical chemistry; Physics; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005694075,0.0005292443,0.0003427367,0.0002275537,0.0001700906,0.0007953683,0.000398446,0.0004257036,0.001075289],"category_scores_gemma":[0.0012532,0.0003629665,0.0002268512,0.0002233855,0.0003492062,0.0005745693,0.0002944719,0.0004388294,0.0003260305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256038,"about_ca_system_score_gemma":0.0001367697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004928857,"about_ca_topic_score_gemma":0.0007228677,"domain_scores_codex":[0.9996122,0.0001174934,0.00004091646,0.00008545789,0.00007531433,0.00006872552],"domain_scores_gemma":[0.9990545,0.0006225544,0.0001383227,0.00006128987,0.00007223229,0.0000510745],"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":[0.001848162,0.0001314585,0.0009522451,0.0001089095,0.00002372667,0.00009179446,0.00007529995,0.001076097,0.9898032,0.00005278652,0.00005427657,0.005782116],"study_design_scores_gemma":[0.00001776604,0.0007795473,0.002724428,0.00000516104,0.00002653846,0.00004558471,0.00004088581,0.001736969,0.9943658,0.000011507,0.0002326148,0.00001316556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984069,0.0003282168,0.0007339823,0.00001542906,0.00000946896,0.000007211765,0.00004975154,0.00003899695,0.0004098678],"genre_scores_gemma":[0.9984437,0.0002342717,0.0009172396,0.00001207905,0.000005649596,0.000007858843,0.00003846025,0.00002190325,0.0003189356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001075289,"threshold_uncertainty_score":0.0035972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003015870725253487,"score_gpt":0.162129608602327,"score_spread":0.1591137378770735,"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."}}