{"id":"W7045606948","doi":"","title":"Caractérisation et évaluation des contaminants dans les solides et les eaux : cas d'un parc à résidus miniers","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alunite; Pollution prevention; Surface water","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004061493,0.0003815208,0.0005255951,0.0008771865,0.0006321968,0.0008879399,0.0003408437,0.0006441444,0.004099131],"category_scores_gemma":[0.0004601769,0.0002904387,0.0003946311,0.0007378341,0.000455718,0.0004683035,0.0004192045,0.0004121918,0.0006247367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004999166,"about_ca_system_score_gemma":0.0003960784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215527,"about_ca_topic_score_gemma":0.009662826,"domain_scores_codex":[0.9993016,0.00005365566,0.00002595563,0.0001379529,0.000401499,0.0000794462],"domain_scores_gemma":[0.999549,0.0001029462,0.00007903523,0.00002759768,0.0002097954,0.00003162876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003453092,0.0000398984,0.00836942,0.0001788037,0.00002049251,0.0003353571,0.0002414489,0.0006539601,0.9825203,0.0001289529,0.0001198227,0.007046266],"study_design_scores_gemma":[0.000007560168,0.0004445835,0.02557116,0.0000264251,0.00004590648,0.0002603137,0.00064509,0.003313294,0.9639391,0.00009382558,0.005631896,0.00002080692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942483,0.0004698695,0.003131944,0.00004783766,0.00001767575,0.00004331977,0.0003065375,0.00007203302,0.001662555],"genre_scores_gemma":[0.9853318,0.000521239,0.006441661,0.00004611559,0.000007671367,0.00005867932,0.0003476842,0.00004517032,0.007199981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9947845,"threshold_uncertainty_score":0.01371294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038219111870985,"score_gpt":0.2596830409620231,"score_spread":0.2393008498433133,"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."}}