{"id":"W6944131725","doi":"10.18164/94a51051-ad11-499a-b5f1-8c97b29f695c","title":"Maps of reporting facilities – total releases to water","year":2021,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pollutant; Rest (music); Public information; Public use; Information system; Water resources","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":[0.0009128816,0.001539472,0.0009627348,0.009088348,0.001132058,0.003102041,0.002556125,0.0007264145,0.07684803],"category_scores_gemma":[0.007992833,0.0007824778,0.001080839,0.03188183,0.0004155926,0.00140095,0.001663981,0.001591249,0.0522754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009795931,"about_ca_system_score_gemma":0.02045739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8684509,"about_ca_topic_score_gemma":0.866914,"domain_scores_codex":[0.9981566,0.0001487694,0.0001867831,0.0003480063,0.0007693104,0.0003905545],"domain_scores_gemma":[0.9909894,0.0006896126,0.0006230433,0.0008059094,0.00636319,0.0005288508],"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":[0.00002433861,0.000007640857,0.0009509627,0.0004107724,0.00001856761,0.00001356174,0.00004851886,0.0002663301,0.00004272296,0.000706034,0.9946137,0.002896874],"study_design_scores_gemma":[0.00004435014,0.000004196751,0.01155214,0.0003209718,0.00001381542,0.00002027734,0.0002237802,0.0002329339,0.0001783762,0.0004034181,0.9869735,0.00003224484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006739483,0.00002263905,0.00002980321,0.00002240738,0.000007160175,0.00001002293,0.9984231,0.0001047059,0.001312841],"genre_scores_gemma":[0.0006555535,0.0001205981,0.0003578364,0.00002212594,0.000004108237,0.00006907618,0.9969385,0.00008271768,0.001749508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8684509,"threshold_uncertainty_score":0.2646475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07998249168190538,"score_gpt":0.3117282854521885,"score_spread":0.2317457937702831,"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."}}