{"id":"W2887321048","doi":"10.5751/es-10175-230321","title":"The implications of group norms for adaptation in collectively managed agricultural systems: evidence from Sri Lankan paddy farmers","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Colorado Boulder; National Science Foundation","keywords":"Adaptation (eye); Agriculture; Sri lanka; Rice farming; Geography; Business; Environmental resource management; Socioeconomics; Agroforestry; Ecology; Environmental planning; Sociology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618602,0.0000811754,0.000129415,0.000002668408,0.0006833263,0.00002688395,0.0001617543,0.0001250959,0.000006503997],"category_scores_gemma":[0.00007477089,0.00002301296,0.00007011076,0.0002296724,0.0002614936,0.0001040831,0.00003703581,0.0000816173,0.000002055074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406704,"about_ca_system_score_gemma":0.000007224871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007719905,"about_ca_topic_score_gemma":0.009569694,"domain_scores_codex":[0.9992875,0.00007852111,0.0001802545,0.0002050496,0.00006520341,0.0001834309],"domain_scores_gemma":[0.9986411,0.001057912,0.0001161777,0.00003150055,0.0001199538,0.00003332313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002269055,0.0002310124,0.6703476,0.00004450671,0.0001918862,6.128445e-7,0.02391768,0.0001019085,0.2598181,0.008209737,0.01420007,0.02270999],"study_design_scores_gemma":[0.0001106777,0.0002354251,0.9725761,0.00001502712,0.0000118229,0.000001083883,0.02521322,0.0002079732,0.0001161052,0.0003566135,0.001085445,0.00007051152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974243,0.0004191371,0.00001819622,0.001325352,0.0001199315,0.0004623962,0.00003686478,0.00001395642,0.0001798591],"genre_scores_gemma":[0.9986138,0.0007245983,0.0001474354,0.00005733787,0.0001300584,0.0001098712,0.0000264958,2.291177e-7,0.0001901175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3022285,"threshold_uncertainty_score":0.5340114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171737957966917,"score_gpt":0.2376682677373733,"score_spread":0.2159508881577041,"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."}}