{"id":"W7139191868","doi":"","title":"Private Motives, Public Benefits: The role of Conservation Easements in Canadian Biodiversity Conservation","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Easement; Livelihood; Private property; Biodiversity; Legislation; Biodiversity conservation; Wildlife conservation; Public land","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":[0.002044261,0.0002278727,0.0002064802,0.001447264,0.01829018,0.005790104,0.00114131,0.001046193,0.004036266],"category_scores_gemma":[0.004436136,0.0002287984,0.0001837224,0.002207156,0.01433198,0.002358187,0.004042585,0.001596625,0.00008773461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0892036,"about_ca_system_score_gemma":0.09021387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814269,"about_ca_topic_score_gemma":0.9952285,"domain_scores_codex":[0.9971285,0.000638376,0.00004268129,0.0002315615,0.0008061499,0.001152755],"domain_scores_gemma":[0.9969483,0.0009103024,0.00030461,0.0001513057,0.0007743066,0.000911197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008598802,0.00009039226,0.08361222,0.0002971164,0.00002776017,0.002168626,0.5686184,0.000821582,0.002005503,0.2579288,0.01260453,0.07173918],"study_design_scores_gemma":[0.000009122042,0.00003139651,0.08737148,0.0003159217,0.00003762457,0.0003435379,0.7032576,0.0007539827,0.0004337329,0.00639392,0.2009791,0.00007267779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860032,0.001342457,0.001592027,0.01431629,0.00008118146,0.00008596144,0.000168824,0.00001782795,0.1223635],"genre_scores_gemma":[0.991918,0.0003738378,0.0004466579,0.0003762796,0.000005087841,0.00001105486,0.00001954786,0.000005778793,0.006843675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0892036,"threshold_uncertainty_score":0.6472205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135485664580753,"score_gpt":0.2105995658978816,"score_spread":0.1970509994398063,"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."}}