{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01302273,0.005904563,0.004373287,0.005861403,0.008077201,0.01118899,0.005217148,0.02288841,0.02284979],"category_scores_gemma":[0.05908341,0.001341107,0.003433323,0.002432237,0.004305923,0.005904136,0.002349778,0.02251856,0.0157226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009032644,"about_ca_system_score_gemma":0.01152258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007087598,"about_ca_topic_score_gemma":0.01884807,"domain_scores_codex":[0.9866847,0.002296394,0.001385437,0.001250846,0.007412233,0.0009704078],"domain_scores_gemma":[0.9506174,0.01700545,0.001584486,0.001018332,0.02174443,0.00802998],"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":[0.00001790653,0.000004923427,0.000006810144,0.00007416319,0.000005340584,0.0000496784,0.000008307185,0.00001319106,0.00001647159,0.0001993641,0.9979759,0.001628008],"study_design_scores_gemma":[0.00005952801,0.00001626384,0.0001383564,0.0003851143,0.00002892003,0.000153089,0.000053047,0.0001212073,0.00007904416,0.001012762,0.9979322,0.00002043487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001175175,0.001697944,0.00004570248,0.02388227,0.9734283,0.00001149486,0.00002425061,0.00002644842,0.0008718055],"genre_scores_gemma":[0.0004352734,0.002596359,0.00009773931,0.0254499,0.9635433,0.00002687234,0.00003028475,0.00004784723,0.007772348],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02288841,"threshold_uncertainty_score":0.07644022,"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."}}