{"id":"W7038069504","doi":"","title":"Filtrage et estimation univariÃ©s des dÃ©bits et des concentrations de polluants","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centralisation; Transport infrastructure; Stream flow","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001413094,0.00110413,0.001243541,0.003945079,0.0008590684,0.002740963,0.001070762,0.001665819,0.01182674],"category_scores_gemma":[0.002479369,0.0008114779,0.001286353,0.003469948,0.0004138779,0.001342928,0.0009648752,0.001054569,0.008400882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009592551,"about_ca_system_score_gemma":0.001182638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866611,"about_ca_topic_score_gemma":0.02275359,"domain_scores_codex":[0.9979873,0.0002039633,0.0000965685,0.0006596977,0.0008947639,0.0001576919],"domain_scores_gemma":[0.9987205,0.0003797639,0.0001764398,0.0001594929,0.0005221241,0.00004167997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001268565,0.0003355669,0.1444781,0.001760225,0.0004257688,0.0003873369,0.001983549,0.02078251,0.3051832,0.003603666,0.006655104,0.5131364],"study_design_scores_gemma":[0.0001391238,0.00169734,0.2618956,0.0004137964,0.0004819603,0.0007612924,0.00222724,0.1846407,0.4093308,0.00253995,0.1354122,0.0004598581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4792084,0.006875769,0.4354441,0.0006046041,0.0007432185,0.00100132,0.02362331,0.00786636,0.04463309],"genre_scores_gemma":[0.6532146,0.005202677,0.2126604,0.0003718595,0.0002191828,0.001801674,0.01383181,0.0008622287,0.1118355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01866611,"threshold_uncertainty_score":0.03956431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005812177351013964,"score_gpt":0.1652255811908021,"score_spread":0.1594134038397881,"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."}}