{"id":"W4249955164","doi":"10.1002/cjce.23273","title":"Issue Highlights","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photocatalysis; Methylene blue; Titanium dioxide; Chemistry; Degradation (telecommunications); Waste management; Environmental engineering; Process engineering; Materials science; Engineering; Chemical engineering; Electrical engineering; Organic chemistry; Catalysis","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":[0.0000907508,0.00008113041,0.0001536061,0.00009073538,0.00002265794,0.0000346284,0.0001674503,0.00003581254,0.0001368101],"category_scores_gemma":[0.00002384938,0.00005864986,0.00006753702,0.0001426965,0.00001529647,0.00006478768,0.000005799555,0.0001639476,0.00007601718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000894527,"about_ca_system_score_gemma":0.00003974322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006660463,"about_ca_topic_score_gemma":0.00005317815,"domain_scores_codex":[0.9995086,0.00000207432,0.0001876864,0.00003794572,0.0001001347,0.0001635637],"domain_scores_gemma":[0.9996276,0.00003154991,0.00002451393,0.0001067268,0.00004802272,0.0001615376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004042754,0.00000426306,0.0002887644,0.0001025795,0.0003738271,0.00003188456,0.001155342,0.7228556,0.2573354,0.003099355,0.01397539,0.0007735356],"study_design_scores_gemma":[0.0007131031,0.00002835821,0.0005538615,0.0001841924,0.000113797,0.0002140213,0.00004584572,0.08587554,0.4570798,0.0001813104,0.4544414,0.0005687699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993489,0.001682774,0.0003414121,0.0008054616,0.001108528,0.00005677716,0.000004079561,0.00003939016,0.002472629],"genre_scores_gemma":[0.9994842,0.00000811045,0.00008846593,0.0000325682,0.0002570412,6.113751e-7,8.547424e-7,0.00001719266,0.0001109881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6369801,"threshold_uncertainty_score":0.2391672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004206216888367558,"score_gpt":0.1647805190937386,"score_spread":0.1605743022053711,"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."}}