{"id":"W4246396248","doi":"10.1002/cjce.22985","title":"Issue Highlights","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Electrochemistry; Commit; Computer science; Key (lock); Environmental science; Library science; Nanotechnology; Chemistry; Electrode; Materials science; Database; Computer security; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003115543,0.001106441,0.0007698272,0.001777511,0.001981797,0.007312913,0.002535906,0.006690338,0.2834599],"category_scores_gemma":[0.01292918,0.000411948,0.001081141,0.001326366,0.0007710577,0.003241671,0.002091794,0.004965621,0.1274198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003196104,"about_ca_system_score_gemma":0.008320892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005676808,"about_ca_topic_score_gemma":0.01089234,"domain_scores_codex":[0.9972452,0.0002116407,0.0001475157,0.0003099341,0.001641179,0.0004446092],"domain_scores_gemma":[0.9868651,0.0009105235,0.0005163992,0.0004398641,0.007517037,0.003750947],"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":[0.00001317798,0.000007628181,0.00003613751,0.00007412129,0.000001823005,0.00002685453,0.000005662834,0.000007872999,0.00004690866,0.0005302352,0.9889916,0.0102579],"study_design_scores_gemma":[0.000007060673,0.000007817771,0.0002002696,0.00007043385,0.000002559758,0.00005300765,0.00001710821,0.00001041669,0.0000611906,0.0003588235,0.9992082,0.000003240093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004434289,0.01187782,0.0006244355,0.2094138,0.6221661,0.0003029471,0.003575213,0.0005680436,0.1510282],"genre_scores_gemma":[0.005461226,0.01815659,0.0007958774,0.129185,0.3741447,0.000224124,0.004288986,0.0005198796,0.4672237],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2834599,"threshold_uncertainty_score":0.9482678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004055165800776203,"score_gpt":0.1622625664673361,"score_spread":0.1582074006665599,"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."}}