{"id":"W4412040663","doi":"10.1002/cjce.25333","title":"Issue Highlights","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002974077,0.0007658708,0.0006689749,0.001349707,0.00272396,0.007335236,0.002453587,0.008007027,0.3585446],"category_scores_gemma":[0.0132008,0.0003222266,0.0009027519,0.001163031,0.001033442,0.004543965,0.003625482,0.005619146,0.1687544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453822,"about_ca_system_score_gemma":0.005979548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844793,"about_ca_topic_score_gemma":0.003996172,"domain_scores_codex":[0.9970689,0.0003448715,0.0001676127,0.0005474475,0.001392876,0.000478259],"domain_scores_gemma":[0.9943774,0.0008639674,0.0002963115,0.0005864449,0.002292248,0.001583615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002930582,0.00001849728,0.000183243,0.0001185896,0.000003710569,0.0001269646,0.00006797198,0.00001860577,0.0001786374,0.00998611,0.9545504,0.03471801],"study_design_scores_gemma":[0.000003280061,0.000005139486,0.0001403362,0.00005380973,0.000001442144,0.00005617151,0.00004031047,0.00001003541,0.00005319034,0.0009653757,0.9986687,0.000002270899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001337918,0.009067359,0.002140535,0.2239278,0.2180361,0.0004239407,0.003582226,0.0009780269,0.5405061],"genre_scores_gemma":[0.01024334,0.007117901,0.001533525,0.09295426,0.05475015,0.0002906667,0.003024148,0.0007005741,0.8293855],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6414554,"threshold_uncertainty_score":0.9149583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00801863749773018,"score_gpt":0.2032998560205714,"score_spread":0.1952812185228412,"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."}}