{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998616,0.0005930405,0.0004440505,0.004775934,0.001874691,0.002117646,0.001141104,0.0005980867,0.002212223],"category_scores_gemma":[0.001004602,0.0003374662,0.0004149745,0.01109139,0.0007119862,0.0008733693,0.000599693,0.0005221175,0.0004061822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02408318,"about_ca_system_score_gemma":0.05812687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662519,"about_ca_topic_score_gemma":0.9843655,"domain_scores_codex":[0.9980605,0.00009832017,0.0001158667,0.0002382799,0.00128876,0.0001981629],"domain_scores_gemma":[0.9967877,0.0001328218,0.0001776769,0.00004640083,0.002598456,0.0002569924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001713816,0.0002087177,0.05041968,0.003972954,0.0001080855,0.0003208726,0.0005570718,0.002371251,0.009171734,0.001614993,0.02243834,0.908645],"study_design_scores_gemma":[0.00004441369,0.0005304907,0.4263342,0.001453989,0.000307995,0.0005979807,0.001761592,0.004067089,0.01654381,0.001094806,0.5471195,0.0001441558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1529813,0.6972021,0.02422488,0.01172356,0.0006165383,0.001066819,0.01103084,0.001040422,0.1001135],"genre_scores_gemma":[0.3070804,0.5819466,0.04132771,0.002504469,0.0002344383,0.0002526342,0.00781108,0.0001406743,0.05870201],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03374815,"threshold_uncertainty_score":0.1747366,"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."}}