{"id":"W4394538094","doi":"10.6084/m9.figshare.3511904","title":"Appendix A. A table showing descriptive statistics of microhabitat variables at bog ponds (N=70 ponds) sampled within mined peatlands in eastern New Brunswick, Canada.","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Bog; Table (database); Geography; Descriptive statistics; Hydrology (agriculture); Physical geography; Forestry; Ecology; Statistics; Archaeology; Geology; Biology; Mathematics; Computer science; Database","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":[0.001109366,0.001138771,0.001106609,0.004603205,0.001370163,0.001718965,0.002198262,0.0007308592,0.1729642],"category_scores_gemma":[0.007786642,0.000798523,0.0008276366,0.01264516,0.0004019532,0.0008159011,0.001258878,0.0009568084,0.0626374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007210778,"about_ca_system_score_gemma":0.01461498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8173598,"about_ca_topic_score_gemma":0.9147049,"domain_scores_codex":[0.9991786,0.00005221386,0.0001224691,0.0001696028,0.0002704722,0.0002066324],"domain_scores_gemma":[0.990123,0.001461525,0.0007799458,0.0006843196,0.006255761,0.000695374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002734133,0.00001580091,0.005976797,0.0005046567,0.00001992454,0.00001378924,0.00003491129,0.0001986657,0.00003118434,0.0001994256,0.9909052,0.002072321],"study_design_scores_gemma":[0.0002555653,0.00001471676,0.07789054,0.0008641174,0.000054653,0.00005215692,0.0003961475,0.0003772809,0.0001775335,0.0006582541,0.9192143,0.00004477952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007749446,0.00001080417,0.00001851962,0.00000897363,0.000002970927,0.00001152653,0.9996056,0.00001872294,0.000245407],"genre_scores_gemma":[0.0008351951,0.00004211201,0.0002531859,0.0000231368,0.000003231614,0.0001568132,0.997255,0.00002964731,0.001401678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1826402,"threshold_uncertainty_score":0.5786228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149111593535739,"score_gpt":0.2242053123122942,"score_spread":0.2027141963769368,"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."}}