{"id":"W4324089651","doi":"10.1002/cjce.24449","title":"Issue Highlights","year":2023,"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; Philosophy; Humanities; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001574696,0.00009351224,0.0001087215,0.00003264251,0.00004504931,0.00002577766,0.0003542394,0.00006030114,0.0006822516],"category_scores_gemma":[0.0001374119,0.00006937317,0.00007030522,0.0003472238,0.00006125774,0.00006919449,0.00003134903,0.0002637736,0.000239994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181279,"about_ca_system_score_gemma":0.00003211411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002773452,"about_ca_topic_score_gemma":0.00002517061,"domain_scores_codex":[0.9992866,0.000002694564,0.000181375,0.00007128156,0.0001681745,0.000289856],"domain_scores_gemma":[0.9993871,0.00005757044,0.00003627797,0.0001229,0.000008582276,0.0003875908],"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":[0.000002529332,0.000002611837,0.0001093593,0.00001442403,0.0000179037,0.00008916169,0.0002110413,0.07456943,0.9077247,0.0001325513,0.01665019,0.000476139],"study_design_scores_gemma":[0.00016092,0.000007291734,0.0002191842,0.00003948727,0.00001499651,0.0001462998,0.000008542573,0.01037455,0.8655927,0.0001889439,0.1230686,0.0001784641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952403,0.00005612177,0.00006298316,0.002100658,0.0002969508,0.0000291012,0.000002033177,0.00004036204,0.002171448],"genre_scores_gemma":[0.9992541,0.000001754787,0.0001413323,0.00005596924,0.0002633447,0.000001163324,0.000001292229,0.00001410068,0.0002669289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064184,"threshold_uncertainty_score":0.7470176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004313691676469381,"score_gpt":0.1643484901531203,"score_spread":0.1600347984766509,"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."}}