{"id":"W1494515386","doi":"10.1080/15320380903113626","title":"Application of Dendrochronological and Dendrochemical Methods for Dating Contamination Events of the Saint-François and Massawippi Riverbanks (Québec, Canada)","year":2009,"lang":"en","type":"article","venue":"Soil and Sediment Contamination An International Journal","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Géomatique du Québec; Université du Québec à Trois-Rivières; GDG Environnement","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contamination; Dendrochronology; Environmental science; Floodplain; Hydrology (agriculture); Pollutant; Environmental chemistry; Soil contamination; Marsh; Soil water; Archaeology; Geology; Geography; Ecology; Chemistry; Wetland; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004000261,0.0002317259,0.0001157177,0.002324464,0.001521306,0.0007129683,0.0003738974,0.0001790418,0.0007894126],"category_scores_gemma":[0.0006636591,0.0001428502,0.00009103509,0.002257828,0.0002940951,0.000139913,0.0003430409,0.0001842334,0.000124007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005361038,"about_ca_system_score_gemma":0.003520922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.869552,"about_ca_topic_score_gemma":0.9654456,"domain_scores_codex":[0.9997856,0.0000299895,0.0000097174,0.00005039544,0.00007593471,0.0000482861],"domain_scores_gemma":[0.9988682,0.00007341404,0.0001136936,0.00002763164,0.0007925458,0.0001244979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009772205,0.0000208443,0.9293163,0.00005629464,0.00004569774,0.0001388855,0.001558369,0.0008057159,0.03654309,0.0001902067,0.0004118121,0.03081513],"study_design_scores_gemma":[0.000002138893,0.00001873965,0.9929985,0.000009960006,0.000007524863,0.00004333176,0.0009357425,0.001143396,0.00221619,0.00001994462,0.00259666,0.000007928095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934725,0.0002829991,0.001673781,0.00004416729,0.000004139124,0.00007120341,0.001467019,0.00003361667,0.002950552],"genre_scores_gemma":[0.9932885,0.0001492422,0.004055633,0.00001011685,0.00000172759,0.00003398413,0.0007137633,0.000005428543,0.001741521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.130448,"threshold_uncertainty_score":0.2624325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209721773804072,"score_gpt":0.2785250694157127,"score_spread":0.266427851677672,"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."}}