{"id":"W7097274194","doi":"","title":"Pulp and paper environmental effects monitoring in Canada: An overview&amp;quot;, Water Quality Research","year":2002,"lang":"en","type":"article","venue":"","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Water quality; Pulp (tooth); Environmental monitoring; Water pollution; Environmental impact assessment; Flexibility (engineering)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005015078,0.0001659235,0.0001800732,0.00002216692,0.0001749042,0.00002588783,0.0001989226,0.00006196426,0.0118639],"category_scores_gemma":[0.0000119173,0.000129561,0.00003883816,0.0001138773,0.0002281883,0.0003594362,0.0003293476,0.0002646547,0.0003296697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153952,"about_ca_system_score_gemma":0.000003760017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5343229,"about_ca_topic_score_gemma":0.4631977,"domain_scores_codex":[0.9979003,0.0002155711,0.0002373924,0.0004973273,0.0006298277,0.0005195595],"domain_scores_gemma":[0.9993113,0.00008132135,0.00002075265,0.0003530014,6.628172e-7,0.0002329329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004006218,0.0001049604,0.6044698,0.00001508491,0.000007389241,0.00001831493,0.0003930996,0.0001009071,0.3912547,0.000001944926,0.0001106415,0.003519204],"study_design_scores_gemma":[0.0003672371,0.00002995762,0.7829409,0.0000141606,0.00001078968,0.000006612453,0.001116367,0.0001775029,0.2103591,0.00009620874,0.004537751,0.0003433909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957512,0.0004098909,0.00000127706,0.0001731713,0.00002292756,0.0001019525,0.00000385549,0.00000882515,0.003526901],"genre_scores_gemma":[0.9960086,0.0005292848,0.0001500378,0.0001193813,0.00003406099,0.0000209424,0.00001004609,0.0000130426,0.003114588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808956,"threshold_uncertainty_score":0.9890394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07945421716427625,"score_gpt":0.3082753022824478,"score_spread":0.2288210851181716,"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."}}