{"id":"W4312989003","doi":"10.46427/gold2022.8864","title":"Assessment of water quality evolution in filtered tailings storage facilities","year":2022,"lang":"en","type":"article","venue":"Goldschmidt2022 abstracts","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Polytechnique Montréal","funders":"","keywords":"Tailings; Quality (philosophy); Environmental science; Computer science; Metallurgy; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000818343,0.0001653737,0.0002524606,0.0002186526,0.00009055738,0.00002846324,0.0002339455,0.00004111409,0.001153617],"category_scores_gemma":[0.00001787438,0.0001565799,0.00007592704,0.0001498651,0.00003502246,0.0002373721,0.0001690871,0.0003521071,0.00001730179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211363,"about_ca_system_score_gemma":0.0000254962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000533351,"about_ca_topic_score_gemma":0.0001026613,"domain_scores_codex":[0.9984212,0.00008334014,0.0005568954,0.0002038587,0.0003975256,0.0003372154],"domain_scores_gemma":[0.9995636,0.00003911395,0.00006921657,0.0002633245,0.00002568153,0.00003910964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004299144,0.000123414,0.009613208,0.0006386031,0.00006178149,0.00002192727,0.0029733,0.8490798,0.1347555,0.001254351,0.0006724115,0.0007626849],"study_design_scores_gemma":[0.00219539,0.0003357593,0.8390921,0.00006805664,0.00004294076,0.000006156169,0.01363816,0.03292046,0.03100935,0.002240213,0.07715154,0.001299904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843113,0.000230429,0.0001224006,0.0000602187,0.000451042,0.0002335895,0.00004525611,0.0001607665,0.01438499],"genre_scores_gemma":[0.9971221,0.00001250462,0.0001507433,0.00001672637,0.00002730481,0.00008112551,0.00006147606,0.00002170381,0.002506325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8294789,"threshold_uncertainty_score":0.9997594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206793619150115,"score_gpt":0.2416666227362847,"score_spread":0.2209872608212732,"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."}}