{"id":"W2981432199","doi":"10.4095/219674","title":"Wetlands of Canada and Climate Change: Observation Strategy and Baseline Data","year":2000,"lang":"en","type":"report","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Wetland; Climate change; Geography; Environmental resource management; Environmental science; Physical geography; Oceanography; Ecology; Geology","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":[0.004008144,0.0005891869,0.0003772297,0.004024892,0.004304621,0.002806625,0.001994174,0.0006618552,0.002831676],"category_scores_gemma":[0.005250801,0.0004605084,0.00054128,0.01286738,0.0009529396,0.001348945,0.001610959,0.001033175,0.0004831992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09015427,"about_ca_system_score_gemma":0.1950629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970955,"about_ca_topic_score_gemma":0.9977658,"domain_scores_codex":[0.9972214,0.0004105043,0.0001725639,0.0002874791,0.001190707,0.0007174284],"domain_scores_gemma":[0.9948013,0.0003718949,0.0002329625,0.000192585,0.003849925,0.0005514167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008047415,0.000390827,0.2856849,0.002763056,0.0001938384,0.001097997,0.009783207,0.01246054,0.00495327,0.05808748,0.2150076,0.4087726],"study_design_scores_gemma":[0.00009929488,0.0001303661,0.4860215,0.0005789171,0.0001114497,0.0001464864,0.01140866,0.007296974,0.002520435,0.004043449,0.4874681,0.0001743504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3161402,0.018416,0.0387429,0.04300624,0.0006247527,0.01257691,0.3792747,0.001230104,0.1899882],"genre_scores_gemma":[0.6736596,0.01439676,0.09660076,0.00516436,0.0001517527,0.005880056,0.1319962,0.0002185583,0.071932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09015427,"threshold_uncertainty_score":0.6541181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067909660148859,"score_gpt":0.2754975932505908,"score_spread":0.2075879331017318,"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."}}