{"id":"W4220952544","doi":"10.1016/j.oneear.2022.02.007","title":"Social-ecological feedbacks drive tipping points in farming system diversification","year":2022,"lang":"en","type":"article","venue":"One Earth","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversification (marketing strategy); Tipping point (physics); Human systems engineering; Agriculture; Ecological systems theory; Environmental resource management; Natural (archaeology); Ecology; Business; Economics; Geography; Sociology; Engineering; Marketing; 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":[0.0003646717,0.00006184088,0.0001032589,0.00003049238,0.0004280693,0.00001760922,0.0001873688,0.00003068912,0.0006674767],"category_scores_gemma":[0.000009042502,0.00006315695,0.00003133236,0.0002366752,0.00004181851,0.00007127687,0.0003245187,0.0001406832,0.0002572984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211048,"about_ca_system_score_gemma":0.000006887525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002023003,"about_ca_topic_score_gemma":0.0002283987,"domain_scores_codex":[0.9990612,0.0001129899,0.0001468785,0.0002439033,0.0002411712,0.0001938815],"domain_scores_gemma":[0.9997628,0.00002478732,0.0000778262,0.00009733106,0.000002879647,0.00003435351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006004576,0.0008828376,0.8832534,0.0001081348,0.00002994793,0.0001745824,0.009362519,0.03983724,0.03209271,0.01509549,0.000531357,0.01857173],"study_design_scores_gemma":[0.0003924912,0.0000821361,0.9318866,0.00002393449,0.000006474847,0.00001347936,0.004179502,0.06106824,0.00009770469,0.0001372194,0.001895354,0.0002168252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847308,0.000009432928,0.0001704281,0.0002619352,0.00008966085,0.0001798776,0.000005804781,0.00002968415,0.01452239],"genre_scores_gemma":[0.9990995,0.000002461728,0.0001855179,0.00005050959,0.00001633055,0.00002438916,0.000006073233,0.000004743691,0.000610471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04863324,"threshold_uncertainty_score":0.7308401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148100435737527,"score_gpt":0.2075262049143308,"score_spread":0.1960452005569555,"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."}}