{"id":"W4407185063","doi":"10.1002/pan3.10791","title":"Navigating human–plant reciprocity: Commercial harvesting by professionals of a medicinal plant fosters multi‐actor landscape management","year":2025,"lang":"en","type":"article","venue":"People and Nature","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministère de l'Enseignement Supérieur et de la Recherche Scientifique","keywords":"Reciprocity (cultural anthropology); Business; Engineering; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309284,0.0001174019,0.0002023507,0.00001814952,0.0002217831,0.00001947686,0.0001495982,0.0001280521,0.0001150605],"category_scores_gemma":[0.00001002527,0.0000823896,0.00002809804,0.0001555289,0.00001331572,0.0001060728,0.0002193349,0.000303285,0.000004483755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001861434,"about_ca_system_score_gemma":0.000004262576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005450107,"about_ca_topic_score_gemma":0.003021023,"domain_scores_codex":[0.9991378,0.00003891759,0.0002117607,0.0002241532,0.0002028832,0.0001844707],"domain_scores_gemma":[0.9996546,0.00007334266,0.0001049685,0.0001072956,0.000006020242,0.00005379201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112489,0.0002080018,0.948416,0.001077083,0.0001287826,0.00002116765,0.003998834,0.000008939121,0.004045281,0.00008873142,0.02362732,0.01826737],"study_design_scores_gemma":[0.003524014,0.0001360747,0.9645446,0.003614695,0.0002231223,0.00002300218,0.005373346,0.002634949,0.006132019,0.0002136578,0.01298309,0.0005974601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970651,0.0006067319,0.00001291625,0.0006159309,0.0001524955,0.0002204036,0.00009923207,0.00001959846,0.001207615],"genre_scores_gemma":[0.9987721,0.00006250165,0.0002760849,0.0005521768,0.00002968659,0.00001689017,0.0001433443,0.000005514712,0.0001416851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01766991,"threshold_uncertainty_score":0.3359751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007787490342430496,"score_gpt":0.2739279611913908,"score_spread":0.2661404708489603,"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."}}