{"id":"W2035534068","doi":"10.3368/er.26.2.120","title":"Using Landscape Context to Guide Ecological Restoration: An Approach for Pits and Quarries in Ontario","year":2008,"lang":"en","type":"article","venue":"Ecological Restoration","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Restoration ecology; Archaeology; Ecology; Geography; Environmental ethics; Philosophy; Biology","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":[0.001181471,0.0005002188,0.0005083055,0.003700231,0.01129219,0.003686203,0.001591287,0.000653166,0.001841024],"category_scores_gemma":[0.003200875,0.0004442203,0.0003823633,0.004666062,0.003504678,0.001348667,0.003654444,0.0006214752,0.0001183403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05150643,"about_ca_system_score_gemma":0.0307726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9328099,"about_ca_topic_score_gemma":0.9922341,"domain_scores_codex":[0.9990139,0.000326081,0.00005097992,0.0001475777,0.0002613402,0.0002001973],"domain_scores_gemma":[0.998881,0.0002310084,0.0001857625,0.00006781182,0.0004249466,0.000209434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001389476,0.0001302127,0.3519716,0.001103016,0.0001069134,0.006468413,0.299471,0.007062721,0.00478018,0.02491302,0.01041599,0.293438],"study_design_scores_gemma":[0.00002552194,0.00009940641,0.4117789,0.0006341294,0.0001409692,0.001108881,0.4186435,0.01030345,0.001100356,0.007996392,0.1480403,0.0001283337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012544,0.004836974,0.03068843,0.007937106,0.0000673704,0.00126388,0.000900424,0.0001426781,0.05290879],"genre_scores_gemma":[0.9488576,0.002667288,0.04101579,0.0001907801,0.00001333566,0.0002095833,0.0002951411,0.00003882608,0.006711673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06719011,"threshold_uncertainty_score":0.3737071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09688675663977095,"score_gpt":0.2971595733748951,"score_spread":0.2002728167351241,"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."}}