{"id":"W1557409889","doi":"10.1023/a:1026047625427","title":"Landscape changes and ecological studies in agricultural regions, Québec, Canada","year":2003,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Ducks Unlimited Canada; Environment and Climate Change Canada","funders":"U.S. Geological Survey","keywords":"Geography; Landscape ecology; Land use; Land cover; Agriculture; Habitat; Landform; Agricultural land; Wetland; Ecology; Agroforestry; Environmental resource management; Environmental science; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177449,0.0001285623,0.0002480182,0.00002819395,0.0001826292,0.000004646449,0.00007731704,0.00009802639,0.0007011439],"category_scores_gemma":[0.0002465348,0.00009153454,0.00001433275,0.0001317802,0.0001886427,0.00004202168,0.0001017156,0.0001337536,0.00003198668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521669,"about_ca_system_score_gemma":0.00004435812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02242214,"about_ca_topic_score_gemma":0.9971523,"domain_scores_codex":[0.9990726,0.0001352432,0.0001506196,0.0002692312,0.00006646552,0.0003058351],"domain_scores_gemma":[0.9994247,0.0003756002,0.00005924131,0.00007744285,0.000009942629,0.00005307375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005338099,0.00003733394,0.9686155,0.000005942632,0.00002394558,0.00004086722,0.0003698276,0.000179002,0.00001255924,0.001122627,0.02952392,0.00006319637],"study_design_scores_gemma":[0.000421652,0.0000933397,0.9861692,0.000002447451,0.00001112942,0.00005568285,0.002130099,0.0001010577,0.000006068372,0.0006187274,0.01025428,0.0001363837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785659,0.001101428,7.329093e-7,0.005470392,0.0003098845,0.0001340174,0.000002077658,0.00001730881,0.01439831],"genre_scores_gemma":[0.9964947,0.0005897864,0.0000850626,0.0011139,0.00001869858,0.00006536597,0.000004137722,0.000004115992,0.001624248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9747301,"threshold_uncertainty_score":0.9840876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339010431380431,"score_gpt":0.2258819038526594,"score_spread":0.2124917995388551,"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."}}