{"id":"W3135786173","doi":"10.4267/dechets-sciences-techniques.111","title":"Recommandations sur l’utilisation des outils de prédiction du drainage minier acide","year":2014,"lang":"en","type":"article","venue":"Environnement Ingénierie & Développement","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Diction; Acid mine drainage; Sulfur; Chemistry; Humanities; Environmental science; Forestry; Mineralogy; Environmental chemistry; Geography; Art; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001284491,0.0002674152,0.0001920163,0.0001054374,0.0005865826,0.00007465514,0.0002841029,0.0001102888,0.006911059],"category_scores_gemma":[0.0002253369,0.0002634087,0.00008924482,0.000254331,0.0002375756,0.0004147581,0.0002491533,0.0001471602,0.0003703799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007728952,"about_ca_system_score_gemma":0.00001646225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137267,"about_ca_topic_score_gemma":0.0001892216,"domain_scores_codex":[0.9978895,0.000190013,0.0004985708,0.0004607732,0.0004647057,0.0004964013],"domain_scores_gemma":[0.9991041,0.00007895711,0.0002113353,0.0004125363,0.00001845731,0.000174597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007636494,0.001185681,0.2645333,0.00008117234,0.0001116244,0.00001742524,0.01635008,0.001465504,0.1016189,0.004561367,0.05701331,0.5529853],"study_design_scores_gemma":[0.000999045,0.0003298714,0.1611204,0.00005365266,0.0000689329,0.00001136045,0.0007612651,0.0039025,0.04481262,0.009811643,0.7774938,0.0006348208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6957636,0.00002855349,0.2356405,0.005114377,0.0002543102,0.0007852507,0.000007828041,0.0003027226,0.06210291],"genre_scores_gemma":[0.9790702,0.000251778,0.01669147,0.0009212618,0.0001809176,0.000255842,0.0001406595,0.00003499231,0.002452896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7204806,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407097607623587,"score_gpt":0.2330836165850865,"score_spread":0.2190126405088506,"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."}}