{"id":"W4389620840","doi":"10.2139/ssrn.4661558","title":"Distribution Patterns of Pahs and Pcbs in Ice-Wedge Polygon Soils of a Canadian Coastal Tundra Catchment","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tundra; Ice wedge; Soil water; Polygon (computer graphics); Environmental science; Distribution (mathematics); Wedge (geometry); Physical geography; Hydrology (agriculture); Geology; Landform; Arctic; Geomorphology; Soil science; Geography; Oceanography; Permafrost; Geotechnical engineering; Mathematics","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":[0.0001967009,0.0002671907,0.0002942042,0.002500103,0.001634304,0.001166238,0.0007879272,0.0003219803,0.001397117],"category_scores_gemma":[0.0005359302,0.0002326267,0.0002839816,0.00414854,0.0008895463,0.0002819314,0.0006722336,0.0001780812,0.0001798904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009997945,"about_ca_system_score_gemma":0.007567426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853541,"about_ca_topic_score_gemma":0.9898826,"domain_scores_codex":[0.9997117,0.00001704596,0.00001663366,0.00007493315,0.00006383404,0.0001156986],"domain_scores_gemma":[0.9995083,0.00004362623,0.00007175368,0.00001538149,0.000249283,0.0001117689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002353332,0.00004062035,0.9806724,0.00005425443,0.00008312838,0.0002823319,0.002694766,0.000542758,0.006414628,0.000190882,0.0004929045,0.008296013],"study_design_scores_gemma":[0.000002754832,0.000006963843,0.9979076,0.000006464199,0.00001029849,0.00004014001,0.001233753,0.0002068548,0.0001536768,0.00001203478,0.0004136213,0.000005754995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978666,0.0000940577,0.00003669573,0.00002108571,9.81056e-7,0.00001051489,0.001185914,0.000004808285,0.000779398],"genre_scores_gemma":[0.9983011,0.0001241238,0.000121404,0.00001481967,0.000001122435,0.000007109997,0.0007349526,0.000002667592,0.0006927553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464593,"threshold_uncertainty_score":0.07254052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001214755551574,"score_gpt":0.2407991725290036,"score_spread":0.2107870249734879,"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."}}