{"id":"W4319920919","doi":"10.1002/cjce.24877","title":"Editorial: Conversations in chemical engineering","year":2023,"lang":"en","type":"editorial","venue":"The Canadian Journal of Chemical Engineering","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data sharing; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004642112,0.0003715009,0.0009559653,0.001270096,0.0000712207,0.0006474364,0.002305891,0.0008033903,0.00008181487],"category_scores_gemma":[0.0634488,0.0002745376,0.0004124563,0.00149019,0.00007223271,0.0002082486,0.0001340366,0.002581432,0.000100385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900638,"about_ca_system_score_gemma":0.002116094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002138583,"about_ca_topic_score_gemma":0.0005864846,"domain_scores_codex":[0.9939438,0.0000579022,0.001909908,0.0003710519,0.003038155,0.0006791491],"domain_scores_gemma":[0.9838107,0.0129223,0.0006342637,0.0006895225,0.001119001,0.0008242272],"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":[0.000008061839,0.000002848909,0.000005639638,0.00001467065,0.0000298325,0.00006708286,0.0002083702,0.01425899,0.001486195,0.0001871237,0.9835988,0.000132339],"study_design_scores_gemma":[0.000403127,0.00001297412,0.000005638336,0.0004174194,0.00002401656,0.00002139989,0.000026678,0.0108946,0.0003097713,0.0009762198,0.9865896,0.0003185387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001549625,0.0004144203,0.0003941633,0.0002508325,0.9971361,0.0001110388,0.00006025562,0.00002992586,0.00005367395],"genre_scores_gemma":[0.05816999,0.000001707962,0.0002651671,0.000009180206,0.9413313,0.000006908408,0.00000638133,0.00008278535,0.0001265504],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05880669,"threshold_uncertainty_score":0.9999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939008861166512,"score_gpt":0.302788178656031,"score_spread":0.2633980900443659,"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."}}