{"id":"W2990476015","doi":"10.1007/s11356-019-06933-x","title":"A toxicity-based analysis of Canada’s National Pollutant Release Inventory (NPRI): a case study in Nova Scotia","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Pollutant; Environmental science; Government (linguistics); Ecotoxicity; Risk assessment; Business; Environmental protection; Environmental planning; Toxicity; Geography; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078057,0.0006971609,0.0005587318,0.002063762,0.002077617,0.001718656,0.001317717,0.0008105839,0.000735895],"category_scores_gemma":[0.001990692,0.0003394495,0.0007985054,0.003181163,0.001025856,0.0003904077,0.0008839243,0.0005966171,0.0001238489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03050107,"about_ca_system_score_gemma":0.01981014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917727,"about_ca_topic_score_gemma":0.99405,"domain_scores_codex":[0.9990767,0.0001416771,0.00004123467,0.00009853185,0.0003895643,0.0002523226],"domain_scores_gemma":[0.9982514,0.0003720976,0.0001832557,0.00009260373,0.0009055597,0.0001950664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001031265,0.0005881274,0.8256791,0.000425598,0.0006942369,0.01175938,0.004041901,0.09904864,0.01008354,0.003016073,0.00830638,0.03532572],"study_design_scores_gemma":[0.00004847517,0.0001786278,0.9404224,0.00007807624,0.0001711474,0.0004165558,0.006928276,0.04336862,0.001749037,0.0003784498,0.006192724,0.00006756342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897218,0.0002817895,0.000856748,0.0003795208,0.00001041137,0.0001643813,0.002547903,0.00003652403,0.00600087],"genre_scores_gemma":[0.9913799,0.0003000153,0.001762488,0.0001733438,0.000005022925,0.00002955021,0.001835377,0.00002404228,0.004490071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03050107,"threshold_uncertainty_score":0.2213019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507114516099293,"score_gpt":0.3471635034391561,"score_spread":0.3120923582781632,"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."}}