{"id":"W3217374213","doi":"10.1021/acs.iecr.1c03896","title":"Preface to CAMURE-11 &amp; ISMR-10 Special Issue","year":2021,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005042608,0.0002888971,0.0002767648,0.000027824,0.0001259777,0.0001238444,0.0006104563,0.0004343309,0.04339873],"category_scores_gemma":[0.001731261,0.000336138,0.0001034095,0.001130838,0.00009279996,0.0001087659,0.0007860264,0.001192989,0.001627287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588504,"about_ca_system_score_gemma":0.00008913414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005906428,"about_ca_topic_score_gemma":0.000006706634,"domain_scores_codex":[0.9969811,0.00002398856,0.0003344492,0.000710386,0.0009876901,0.0009623832],"domain_scores_gemma":[0.9983931,0.0001881536,0.00002618483,0.0006790654,0.00006246447,0.0006510286],"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":[0.00002071765,0.00005362309,0.0001433925,0.0000417754,0.00001360646,0.00005641406,0.00007137988,0.01834118,0.86336,0.000002337644,0.1170386,0.0008569037],"study_design_scores_gemma":[0.0002317462,0.00000501217,0.00002222382,0.00003718591,0.000003713267,0.00001961676,0.00002249682,0.0002173398,0.5267243,0.000004404425,0.4725116,0.000200321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318599,0.00004126427,0.00005974361,0.001159714,0.0004151492,0.0002307986,0.0000393966,0.0002044617,0.06598958],"genre_scores_gemma":[0.7840663,0.0000185646,0.0007312233,0.00006258441,0.02204556,0.0001516471,0.0001748167,0.0001617553,0.1925875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.355473,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05916157094909624,"score_gpt":0.3105496820092504,"score_spread":0.2513881110601542,"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."}}