{"id":"W7097282847","doi":"","title":"Are Agricultural Values a Reliable Guide in Determining Landowners&amp;apos; Decisions to Create Forest Carbon Sinks?” Canadian","year":2007,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Afforestation; Willingness to accept; Tree planting; Agriculture; Cost–benefit analysis; Contingent valuation; Carbon sequestration; Carbon credit","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":[0.002644643,0.0002431227,0.0002946342,0.0008749794,0.0008305518,0.002570353,0.0006222441,0.0003835118,0.004986844],"category_scores_gemma":[0.01229037,0.0002571753,0.0002607686,0.001540124,0.001746178,0.001247661,0.0004691149,0.0005342328,0.0006483324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008667595,"about_ca_system_score_gemma":0.007561763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7277892,"about_ca_topic_score_gemma":0.8609216,"domain_scores_codex":[0.9983004,0.0005827369,0.00004621411,0.0001919285,0.0006867563,0.000191982],"domain_scores_gemma":[0.996482,0.001243469,0.0005222229,0.0003192113,0.001234751,0.0001984339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002903662,0.0001085655,0.5668213,0.0003351728,0.0001765007,0.0002569232,0.004103961,0.022237,0.00274719,0.06237853,0.02154809,0.3189964],"study_design_scores_gemma":[0.00007036363,0.0001405254,0.7136295,0.0004578656,0.0001080629,0.0002399626,0.008983393,0.07025924,0.004563649,0.04958826,0.1518155,0.0001437344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7135586,0.003233709,0.05467817,0.01009284,0.00009521878,0.0003363405,0.007870022,0.0001649141,0.2099701],"genre_scores_gemma":[0.9730104,0.0009403109,0.01480272,0.0002321645,0.00001048261,0.00005505477,0.0007308671,0.00002803387,0.01018983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2722108,"threshold_uncertainty_score":0.5476277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05090253720760634,"score_gpt":0.3044060196809801,"score_spread":0.2535034824733737,"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."}}