{"id":"W4409843515","doi":"10.1016/j.cherd.2025.04.014","title":"Special issue: International Conference on Separation and Purification Technologies (ICSPT)","year":2025,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Science and Engineering Research Board","keywords":"Separation (statistics); Engineering; Engineering ethics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005696966,0.0001005522,0.00007137635,0.00009476543,0.000149805,0.00005542815,0.00004522568,0.0001024183,0.0001223194],"category_scores_gemma":[0.0000120344,0.0001042443,0.000009574941,0.00007635547,0.00006371028,0.0003167707,0.00001311925,0.0001519107,0.00002007054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006169072,"about_ca_system_score_gemma":0.000005056297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000138895,"about_ca_topic_score_gemma":0.000003891588,"domain_scores_codex":[0.9995029,0.000008073532,0.0001493193,0.0001737945,0.00009389467,0.00007202449],"domain_scores_gemma":[0.9998779,0.000006679961,0.00003289663,0.00005802922,0.000009007525,0.00001546581],"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":[0.0007288734,0.0002284455,0.0007121242,0.000591208,0.000120414,0.000001535274,0.001505756,0.0315982,0.04313154,0.01550302,0.002015117,0.9038638],"study_design_scores_gemma":[0.001348375,0.0001952284,0.006334322,0.0001601164,0.00004101948,0.00003052086,0.006247013,0.4157808,0.06932811,0.01607048,0.4838336,0.0006304856],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06228533,0.001211414,0.3335348,0.01173278,0.003396769,0.002480633,0.00008116732,0.00226617,0.5830109],"genre_scores_gemma":[0.9956464,0.00270071,0.00005130773,0.00003630235,0.0001840712,0.00007643678,0.00003394114,0.000006213857,0.001264589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9333611,"threshold_uncertainty_score":0.4250958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277485393289089,"score_gpt":0.2497856705129145,"score_spread":0.2370108165800237,"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."}}