{"id":"W7161854829","doi":"10.82308/18492","title":"Effects of past land use and landscape context on plant species composition and richness in woodlots of an agricultural landscape in Québec","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Context (archaeology); Mesophyte; Landscape ecology; Land use; Land cover; Old-growth forest; Intact forest landscape; Biodiversity; Land use, land-use change and forestry","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":[0.000284423,0.0001906769,0.0002330836,0.0008294667,0.001609646,0.001065748,0.00060363,0.0002248878,0.002204312],"category_scores_gemma":[0.0009798295,0.0001436308,0.000226516,0.00149394,0.0007642833,0.0003340397,0.000387947,0.0002761339,0.0001260846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01174462,"about_ca_system_score_gemma":0.003018133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9813581,"about_ca_topic_score_gemma":0.9943905,"domain_scores_codex":[0.9998044,0.00002900171,0.000007864557,0.00005631601,0.00003571667,0.00006659383],"domain_scores_gemma":[0.9990896,0.0001731332,0.0001745698,0.00004428049,0.0002607547,0.0002577048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008052861,0.00004777018,0.9895136,0.00001735904,0.00006868476,0.0001127078,0.001006346,0.000559865,0.001319004,0.00007983453,0.0004480556,0.006746236],"study_design_scores_gemma":[0.000001615251,0.000006700342,0.9988783,0.000004161095,0.000004898963,0.00001080543,0.0004441931,0.0004340743,0.00002979866,0.000005101816,0.0001776417,0.000002692461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988833,0.00009532136,0.00004131312,0.00003451639,0.000001234887,0.000004334744,0.0003681922,0.00000370945,0.0005680617],"genre_scores_gemma":[0.9992759,0.00005256225,0.0000601774,0.00001119982,7.977472e-7,0.00000287901,0.0002517895,0.000001661885,0.0003430164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01864189,"threshold_uncertainty_score":0.08521354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004700180573126098,"score_gpt":0.1918629989762502,"score_spread":0.1871628184031241,"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."}}