{"id":"W4251467628","doi":"10.32920/ryerson.14667951","title":"A Multi-Criteria Index For Wetland Reconstruction Site Suitability In Ontario's Mixedwood Plains","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wetland; Environmental science; Ecosystem services; Index (typography); Ecosystem; Environmental resource management; Land reclamation; Water resource management; Agriculture; Hydrology (agriculture); Remote sensing; Geography; Ecology; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003832318,0.0002141108,0.0002034972,0.002545308,0.0008243655,0.001086178,0.0003339635,0.0001980835,0.001832082],"category_scores_gemma":[0.001846103,0.000106192,0.0002566338,0.002400842,0.0004129618,0.0002994518,0.0004927099,0.0001378703,0.0001247404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005613674,"about_ca_system_score_gemma":0.002799171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.670519,"about_ca_topic_score_gemma":0.8779179,"domain_scores_codex":[0.9996413,0.00003363009,0.00002473044,0.00003770209,0.0002052894,0.00005719428],"domain_scores_gemma":[0.999195,0.0001675579,0.0001401064,0.00004041951,0.0003083154,0.0001485922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003957162,0.00006930179,0.9264095,0.00009769578,0.00008010113,0.0003855822,0.001096582,0.01222927,0.005185818,0.001272969,0.004189277,0.04858818],"study_design_scores_gemma":[0.00001255672,0.00004723019,0.9633766,0.00001896304,0.00001720511,0.000115051,0.001500687,0.0306811,0.0009276424,0.0002846135,0.002999468,0.00001884415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9905366,0.00006127093,0.001663433,0.00006071438,0.000004049596,0.00006896737,0.001653672,0.00002686047,0.0059244],"genre_scores_gemma":[0.9949915,0.00002114531,0.003008845,0.000004247084,0.000001473679,0.0000236397,0.000873843,0.00000533602,0.001070131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.329481,"threshold_uncertainty_score":0.6628428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257020127318273,"score_gpt":0.2552984472564175,"score_spread":0.2327282459832348,"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."}}