{"id":"W4387859577","doi":"10.1021/acsengineeringau.3c00023","title":"Vision 2050: Reaction Engineering Roadmap","year":2023,"lang":"en","type":"article","venue":"ACS Engineering Au","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Chemical reaction engineering; Speciality chemicals; Scale (ratio); Field (mathematics); Engineering management; Management science; Computer science; Biochemical engineering; Systems engineering; Risk analysis (engineering); Engineering; Chemistry; Business; Catalysis","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":[0.0003523901,0.0002482629,0.0002027722,0.0005147576,0.00005137696,0.00003444662,0.0001759073,0.0001545002,0.000009196627],"category_scores_gemma":[0.00008656226,0.0002819478,0.00004773073,0.001562298,0.00001315403,0.000264772,0.00005390618,0.0003166352,0.0002413679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162472,"about_ca_system_score_gemma":0.00001282031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001531713,"about_ca_topic_score_gemma":2.208237e-7,"domain_scores_codex":[0.9988039,0.000003833812,0.0003160178,0.0002096047,0.0001947539,0.0004718996],"domain_scores_gemma":[0.9994876,0.00004085261,0.00002606132,0.0003198769,0.00007258711,0.00005303116],"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":[0.000002039288,0.000005994063,0.00002765556,0.0001146517,0.0000337596,0.00001114301,0.000177261,0.02768822,0.9460667,0.002595187,0.01761914,0.005658237],"study_design_scores_gemma":[0.0003397738,0.00005478571,0.008731676,0.000186742,0.00001734707,0.00003350904,0.00003998074,0.1916543,0.5440003,0.00006424475,0.2541713,0.0007059767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7416143,0.0001919635,0.2383138,0.0001771118,0.002720552,0.0003339007,0.00001908879,0.01314036,0.003488917],"genre_scores_gemma":[0.9977226,0.00004794991,0.001216639,0.00002138215,0.0003819689,0.00005267296,0.0001909494,0.0001087525,0.0002571028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4020664,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008536932494236923,"score_gpt":0.2248752156054455,"score_spread":0.2163382831112086,"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."}}