{"id":"W4408329041","doi":"10.1002/cjce.25325","title":"Issue Highlights","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005566821,0.00004656259,0.00005456798,0.00003767159,0.00002771561,0.00001576085,0.0001250889,0.00005711252,0.00001895536],"category_scores_gemma":[0.00005964353,0.0000330229,0.00004318718,0.000055701,0.00002019571,0.000001582931,0.000007484836,0.00009891555,0.000002226034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002236655,"about_ca_system_score_gemma":0.0001258838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018129,"about_ca_topic_score_gemma":0.00007043458,"domain_scores_codex":[0.9997374,0.000003676087,0.00008962899,0.00003994537,0.00003443807,0.00009495546],"domain_scores_gemma":[0.9997634,0.00000481488,0.00002163688,0.00008473614,0.0000414589,0.00008390444],"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":[0.00001231234,0.0000013213,0.00005192132,0.000008231098,0.00005490544,0.000005269571,0.00002566835,0.0007234025,0.9792848,0.001539669,0.0172442,0.00104836],"study_design_scores_gemma":[0.0001265862,0.00001943698,0.0001653696,0.00001789569,0.00001609866,0.00004218264,0.000003455471,0.00010383,0.5415628,0.0001124197,0.4577795,0.00005042443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912555,0.001160005,0.0008777993,0.003246519,0.001218197,0.00004018111,0.000001843813,0.000003948425,0.00219597],"genre_scores_gemma":[0.9988616,0.000003191079,0.0001965461,0.0002586764,0.0003916186,2.699206e-7,0.000001424607,0.00000526313,0.0002814793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4405353,"threshold_uncertainty_score":0.1346635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002205861218829038,"score_gpt":0.1731949438951616,"score_spread":0.1709890826763325,"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."}}