{"id":"W4255009879","doi":"10.1002/wer.1179","title":"Pulp and paper mill effluent management","year":2019,"lang":"en","type":"review","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Effluent; Paper mill; Pulp (tooth); Environmental science; Cleaner production; Waste management; Sewage treatment; Pulp mill; Pollution; Pulp and paper industry; Engineering; Environmental engineering; Municipal solid waste; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00116637,0.0006423211,0.000979456,0.0002167448,0.0002675827,0.0001358153,0.0006783442,0.0002936898,0.01016296],"category_scores_gemma":[0.000001850213,0.0003793771,0.0003067017,0.0001411587,0.0004714988,0.0001885073,0.002976302,0.0006082626,0.04681076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008209334,"about_ca_system_score_gemma":0.000006782795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000863181,"about_ca_topic_score_gemma":0.000003237544,"domain_scores_codex":[0.9948326,0.000550525,0.0005122249,0.001347317,0.001430338,0.001326996],"domain_scores_gemma":[0.9984801,0.00007233314,0.00006160301,0.001087306,0.000002535127,0.000296146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001839469,0.0002882299,0.0001567613,0.004530146,0.0004025852,0.000278221,0.0002124442,0.000009064018,0.0001677903,0.00002891751,0.00313218,0.9907753],"study_design_scores_gemma":[0.0003357836,0.0001327708,0.000065974,0.0005990558,0.0003463865,0.00004019542,0.00002204647,0.000002904338,0.0002136067,0.0001188908,0.9976642,0.0004582022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001788996,0.9855989,0.000002485302,0.0000916827,0.0001043776,0.002857581,0.00002062098,0.00003453058,0.009500877],"genre_scores_gemma":[0.0000575989,0.9516165,0.0008252822,0.00002654543,0.00006644031,0.0004125622,0.0001826225,0.0001019828,0.04671042],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.994532,"threshold_uncertainty_score":0.9998658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07796236736538385,"score_gpt":0.3283469822155048,"score_spread":0.250384614850121,"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."}}