{"id":"W6996115227","doi":"","title":"The relationship among micro-topographical variation, water table depth and biogeochemistry in an ombrotrophic bog","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water table; Transect; Peat; Hydrology (agriculture); Table (database); Elevation (ballistics); Evapotranspiration; Water level; Eddy covariance","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":[0.0001136343,0.00008779336,0.0001106627,0.0004525369,0.0002352926,0.0004075922,0.0001488054,0.0001737132,0.0006421782],"category_scores_gemma":[0.0002880075,0.0001101744,0.0001029185,0.0003822283,0.0002403718,0.0001388614,0.0001957669,0.0001087477,0.0001133752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006846315,"about_ca_system_score_gemma":0.0003547868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1569358,"about_ca_topic_score_gemma":0.380973,"domain_scores_codex":[0.9999441,0.000009210927,0.000003604224,0.00001269471,0.0000101853,0.00002034062],"domain_scores_gemma":[0.9998413,0.00002926635,0.00004008737,0.000007147747,0.00002410157,0.00005815038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001091422,0.00004372339,0.9876806,0.00001085122,0.00003375809,0.00008009302,0.0002998139,0.000125986,0.009107233,0.00003085595,0.00006810944,0.002409905],"study_design_scores_gemma":[4.525061e-7,0.000004960202,0.9997937,4.746019e-7,0.000001180979,0.00001033058,0.0000580377,0.00007073861,0.00003308056,0.000004361666,0.00002215005,5.660826e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997815,0.00002859615,0.00001865101,0.000004645947,3.750371e-7,0.000001013168,0.00005822665,0.000001361896,0.0001055555],"genre_scores_gemma":[0.9997305,0.00002117264,0.00005319477,0.00000348161,6.628838e-7,0.000001574254,0.00008851606,9.30007e-7,0.00009985727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1569358,"threshold_uncertainty_score":0.3120447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213179190082224,"score_gpt":0.2074868093057722,"score_spread":0.1953550174049499,"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."}}