{"id":"W4236221522","doi":"10.1002/cjce.24143","title":"Erratum","year":2021,"lang":"en","type":"erratum","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Hexachlorocyclohexane; Sentence; Zero (linguistics); Environmental remediation; Nanotechnology; Chemistry; Computer science; Library science; Philosophy; Artificial intelligence; Materials science; Linguistics; Contamination","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":[0.002254344,0.00180793,0.001286129,0.003890658,0.005318445,0.004583851,0.001626857,0.00426169,0.1491467],"category_scores_gemma":[0.02762753,0.0006959511,0.0009448828,0.002885906,0.001490872,0.002245507,0.001398897,0.005558128,0.1094058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005291698,"about_ca_system_score_gemma":0.01095233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0538992,"about_ca_topic_score_gemma":0.08476226,"domain_scores_codex":[0.9950799,0.000364705,0.0006576325,0.0003773939,0.003291865,0.0002284495],"domain_scores_gemma":[0.978444,0.002282906,0.0006409596,0.0008220467,0.01699896,0.0008111426],"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":[0.00001473181,0.000005694855,0.0000336322,0.0000647062,0.000001804331,0.00007397613,0.00001164324,0.00001832783,0.00002889131,0.0007050324,0.9932986,0.00574294],"study_design_scores_gemma":[0.000005403074,0.000005718,0.0001226696,0.0001155428,0.000005133913,0.00009924765,0.00003999655,0.00002368606,0.00009148774,0.0004104854,0.999071,0.000009583175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002538409,0.002067329,0.0006573023,0.03880728,0.8972426,0.0001076401,0.003176891,0.0003103016,0.05737685],"genre_scores_gemma":[0.004278363,0.01007454,0.003647136,0.04715727,0.06736799,0.0001621963,0.006712464,0.000957483,0.8596426],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1491467,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005913551776962449,"score_gpt":0.1694594389272139,"score_spread":0.1635458871502514,"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."}}