{"id":"W2767344148","doi":"10.15200/winn.151014.49032","title":"Science AMA Series : We’re a team of researchers studying where wetlands can be found around the globe, from the arctic to the tropics, and trying to understand how human land use activities and climate change are affecting their distribution.","year":2017,"lang":"en","type":"dataset","venue":"The Winnower","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Globe; Climate change; Ecosystem; Global change; Tropics; Ecosystem services; Geography; Environmental science; Physical geography; Environmental resource management; Ecology; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.001961648,0.0003271261,0.0003286198,0.00004302012,0.006298328,0.001677431,0.001570344,0.00006786952,0.00002316294],"category_scores_gemma":[0.0005257617,0.0001388275,0.00004972802,0.0004858044,0.003688391,0.0006605344,0.002491035,0.0004377693,0.000002812592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429386,"about_ca_system_score_gemma":0.00003792737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006344382,"about_ca_topic_score_gemma":0.1813475,"domain_scores_codex":[0.9975256,0.0002454474,0.0001827862,0.0005675933,0.0008229668,0.0006556219],"domain_scores_gemma":[0.9975895,0.0008170227,0.0002843328,0.001162798,0.00004185132,0.0001044422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002258981,0.00009621191,0.461904,0.0001825656,0.0002307898,0.00001016882,0.09059937,0.0000396161,0.0005562612,0.00009099876,0.4439981,0.00206596],"study_design_scores_gemma":[0.0003748589,0.0003253466,0.4533795,0.000727738,0.0001598813,0.00001423216,0.3729914,0.00002328642,0.00004385722,0.0003916709,0.1710951,0.00047312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688364,0.0003961998,0.000002383696,0.02691671,0.000180659,0.001025659,0.2025741,0.00001222881,0.00005569569],"genre_scores_gemma":[0.9950333,0.001499656,0.000005814895,0.0004304528,0.0002695507,0.00006487779,0.002579182,0.00001564163,0.0001015472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2823921,"threshold_uncertainty_score":0.999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303406158492525,"score_gpt":0.3295567491710126,"score_spread":0.1992161333217601,"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."}}