{"id":"W4311547779","doi":"10.1163/9789004322714_cclc_2019-0074-367","title":"1.5 billion litres of grey water have likely been dumped along the B.C. coast: WWF-Canada study","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Fishery; Geography; Biology","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":[0.000708145,0.000238011,0.0002921688,0.00005512563,0.001039864,0.00006932623,0.0002319375,0.00009839138,0.01175617],"category_scores_gemma":[0.000007898013,0.0001535071,0.00005598456,0.0001962071,0.0001387653,0.0001427682,0.0005623451,0.0002685306,0.00001409472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003182415,"about_ca_system_score_gemma":0.00002289304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8680502,"about_ca_topic_score_gemma":0.9593984,"domain_scores_codex":[0.9979032,0.0004160802,0.000369666,0.0003799829,0.000612755,0.000318261],"domain_scores_gemma":[0.999305,0.00005921107,0.0001972084,0.0003493881,0.00001847855,0.00007072164],"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":[0.00007251341,0.0002563683,0.003708228,0.00009441512,0.0000495894,0.00001725737,0.002656881,0.00001574067,0.00003994794,0.000007480196,0.9929193,0.0001623133],"study_design_scores_gemma":[0.0003956942,0.0003945461,0.01415804,0.00001951616,0.0001075451,0.000009821182,0.001767188,0.00002082859,0.0001784084,0.00001816472,0.9827079,0.0002223762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1475297,0.0001118469,8.405746e-7,0.001504562,0.001049361,0.001786583,0.8475587,0.00002498734,0.0004333799],"genre_scores_gemma":[0.2727801,0.001348772,0.000004475743,0.001756438,0.000320817,0.0008891239,0.7207057,0.00003913165,0.002155445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.126853,"threshold_uncertainty_score":0.9891472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529514258481517,"score_gpt":0.2690711360141879,"score_spread":0.2161197101660361,"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."}}