{"id":"W4241123771","doi":"10.1002/cjce.22987","title":"Issue Highlights","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); USable; Citation; Download; Computer science; Process engineering; Operations research; Library science; World Wide Web; Engineering","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":[0.0003059839,0.0001614594,0.0002397172,0.0001709395,0.00006778295,0.00003042083,0.0005326836,0.0001074835,0.0002310937],"category_scores_gemma":[0.0004480316,0.0001127185,0.0001420676,0.0002899876,0.0001073387,0.0001361612,0.00002486308,0.0004510317,0.00009849793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369716,"about_ca_system_score_gemma":0.0001904544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068602,"about_ca_topic_score_gemma":0.0001717246,"domain_scores_codex":[0.9988571,0.000006089744,0.0003777831,0.00009539181,0.0002273574,0.0004363256],"domain_scores_gemma":[0.9988565,0.00008458848,0.00009734833,0.0002409544,0.0001623379,0.0005582518],"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":[0.000009870146,0.000004203489,0.0000165521,0.00002973919,0.00009690673,0.00005921908,0.0006004971,0.0009331916,0.9935205,0.002769793,0.0007299911,0.001229524],"study_design_scores_gemma":[0.0002081594,0.00002172101,0.000009406853,0.00009160353,0.00003489529,0.0004091831,0.000008229285,0.0053627,0.932466,0.00008063333,0.06114227,0.0001651801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924547,0.0005816554,0.001215698,0.001807136,0.001619422,0.00008502495,0.000005457284,0.00006362519,0.002167282],"genre_scores_gemma":[0.9969504,9.4841e-7,0.000552097,0.00007056754,0.00215782,0.000001220174,0.00000131823,0.0000402951,0.000225261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0610545,"threshold_uncertainty_score":0.4596528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007502986424375357,"score_gpt":0.2025551368195692,"score_spread":0.1950521503951939,"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."}}