{"id":"W2156685309","doi":"10.1016/j.jglr.2010.09.001","title":"Latitudinal gradient of floristic condition among Great Lakes coastal wetlands","year":2010,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wetland; Latitude; Floristics; Environmental science; Vegetation (pathology); Geography; Ecology; Physical geography; Hydrology (agriculture); Species richness; Geology","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":[0.0002347185,0.0001204199,0.0001217327,0.0008553467,0.0004523348,0.0003929388,0.0001339711,0.0001591928,0.001271775],"category_scores_gemma":[0.0004359928,0.0001557025,0.0001480512,0.0005678927,0.0004035815,0.0002464649,0.0004937234,0.0001408627,0.0001389775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293928,"about_ca_system_score_gemma":0.0002800443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715288,"about_ca_topic_score_gemma":0.1035625,"domain_scores_codex":[0.9998864,0.00002740558,0.00001047561,0.00002919516,0.00001488266,0.00003156494],"domain_scores_gemma":[0.9994988,0.00009440753,0.0001412234,0.00002733197,0.00007975944,0.0001584544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009504652,0.00001312578,0.9945548,0.000006939254,0.00003599414,0.00005496057,0.0007549959,0.00005092804,0.003339598,0.00006663072,0.00005737335,0.0009696062],"study_design_scores_gemma":[6.152626e-7,0.000004904275,0.9996946,6.274036e-7,0.000001967496,0.0000155772,0.0002084375,0.00002474073,0.00001681465,0.00000561336,0.00002523921,8.482386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997496,0.00001483322,0.000009735425,0.000005803112,3.504931e-7,6.309069e-7,0.00004524663,8.363748e-7,0.0001730289],"genre_scores_gemma":[0.9997641,0.00001553786,0.00002257445,0.000004116515,9.733026e-7,0.000001661335,0.00007912767,6.911537e-7,0.0001112101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9728471,"threshold_uncertainty_score":0.05398971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819692710935557,"score_gpt":0.309693477845695,"score_spread":0.2814965507363394,"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."}}