{"id":"W3208496175","doi":"10.5751/es-12734-260412","title":"Farmer networks and agrobiodiversity interventions: the unintended outcomes of intended change","year":2021,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; International Development Research Centre","keywords":"Unintended consequences; Agricultural biodiversity; Psychological intervention; Environmental resource management; Business; Geography; Ecology; Environmental planning; Biodiversity; Political science; Economics; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02023018,0.0005383521,0.0009102724,0.0008219214,0.00157492,0.001987714,0.000999218,0.003216441,0.01302899],"category_scores_gemma":[0.08057968,0.0003861227,0.001110872,0.0006723561,0.004318262,0.003651017,0.004635956,0.003029877,0.0005467536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223032,"about_ca_system_score_gemma":0.002995123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041095,"about_ca_topic_score_gemma":0.005602545,"domain_scores_codex":[0.9781134,0.0170747,0.0005281441,0.00107232,0.00196027,0.001251127],"domain_scores_gemma":[0.9125664,0.06731833,0.01152078,0.004278491,0.001801275,0.002514689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005349837,0.004494814,0.1649636,0.004205604,0.00286678,0.0009892416,0.008204339,0.007146943,0.0009493074,0.1621314,0.02130608,0.617392],"study_design_scores_gemma":[0.001616478,0.006481105,0.3074088,0.009089008,0.002676586,0.0006942373,0.008618855,0.01259216,0.003824771,0.602975,0.04372763,0.0002954786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6290597,0.05425342,0.01591107,0.2127385,0.00265391,0.000842347,0.00183541,0.0001977876,0.0825078],"genre_scores_gemma":[0.9850597,0.005908216,0.001462346,0.004750127,0.0002056368,0.000495626,0.0001085371,0.00001495004,0.001994875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02023018,"threshold_uncertainty_score":0.1069887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04891383687228127,"score_gpt":0.2347187138291291,"score_spread":0.1858048769568479,"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."}}