{"id":"W4402019925","doi":"10.1002/cjce.25474","title":"Preface to the special issue of the International Conference on Sustainable Development in Chemical and Environmental Engineering ( <scp>SDCEE</scp> ‐2024)","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Board of Research in Nuclear Sciences; Science and Engineering Research Board; Thapar Institute of Engineering and Technology; Defence Research and Development Organisation; Indian National Science Academy","keywords":"Sustainable development; Engineering; Engineering ethics; Engineering management; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002431233,0.0001568031,0.0001397615,0.00004702185,0.0000368555,0.00006807467,0.0006041075,0.00007051517,0.0002195431],"category_scores_gemma":[0.0002355903,0.0001010085,0.00005746855,0.0002096372,0.00007974973,0.00007885286,0.0001610444,0.0005531317,0.000008795474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006505294,"about_ca_system_score_gemma":0.00008488267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009932352,"about_ca_topic_score_gemma":0.000027023,"domain_scores_codex":[0.9989396,0.000004910734,0.0002856838,0.0001477767,0.0003054942,0.0003165189],"domain_scores_gemma":[0.9994692,0.0001182205,0.00003722125,0.0001373953,0.000007446779,0.000230576],"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":[0.000007054074,0.00001622999,0.0002216823,0.00006866954,0.00004775192,0.00005675515,0.002288344,0.08287978,0.9086186,0.000527518,0.003985344,0.001282283],"study_design_scores_gemma":[0.0001614709,0.000010106,0.000347627,0.0002449609,0.00001385754,0.0001113405,0.0002413385,0.02184013,0.8906542,0.00004383557,0.0862198,0.0001113237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966689,0.0001112525,0.0000589369,0.001273006,0.0003307714,0.0001060978,0.000006083172,0.000007054095,0.00143793],"genre_scores_gemma":[0.9989159,0.000003475081,0.0001837621,0.00006102486,0.000426349,0.000006153678,0.000001201295,0.00001643945,0.0003857165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08223446,"threshold_uncertainty_score":0.4119009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003982058847768048,"score_gpt":0.1633124947638024,"score_spread":0.1593304359160344,"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."}}