{"id":"W4256380886","doi":"10.1002/cjce.23547","title":"Issue Highlights","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006725255,0.00009668682,0.0001196916,0.000009462418,0.00003199571,0.00002519887,0.0003714944,0.00005428683,0.001059309],"category_scores_gemma":[0.0001633542,0.00007181928,0.00007013735,0.0001610801,0.00005685295,0.00007303215,0.00002709228,0.0003117071,0.00008013461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330273,"about_ca_system_score_gemma":0.00003308833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001686537,"about_ca_topic_score_gemma":0.000009440309,"domain_scores_codex":[0.9993683,0.000002630478,0.0001857856,0.00007525981,0.0001492271,0.0002188342],"domain_scores_gemma":[0.9991657,0.00003342074,0.00004119571,0.00008412459,0.000008397211,0.0006671651],"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":[0.000004540096,0.0000024195,0.0000706049,0.00001514204,0.00001559903,0.00004897156,0.0003382888,0.04156233,0.9508339,0.00009024401,0.006725255,0.0002926986],"study_design_scores_gemma":[0.0001503676,0.00001105226,0.00003497806,0.0000196474,0.00001509551,0.00008331798,0.000005695737,0.008814165,0.8783867,0.00003814721,0.1123007,0.0001401119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982295,0.0001973339,0.000583034,0.01317881,0.0002232028,0.00004916208,0.000003032328,0.00003029922,0.003440145],"genre_scores_gemma":[0.9987878,8.354558e-7,0.0004100899,0.0003713477,0.0003857673,5.610895e-7,5.344406e-7,0.00001233125,0.00003069684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055755,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004627151930095359,"score_gpt":0.1524107114204677,"score_spread":0.1477835594903723,"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."}}