{"id":"W4386710489","doi":"10.1007/s10708-023-10945-z","title":"Farm households’ adoption of climate-smart agricultural practices: empirical evidence from Seychelles","year":2023,"lang":"en","type":"article","venue":"GeoJournal","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"United Nations Development Programme","keywords":"Agriculture; Food security; Livestock; Crop diversity; Business; Diversity (politics); Agricultural economics; Irrigation; Multivariate probit model; Agroforestry; Geography; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006004514,0.0002087728,0.0002708464,0.0008167089,0.0009474073,0.001191645,0.000488113,0.0005653643,0.002752126],"category_scores_gemma":[0.002269251,0.000207585,0.0003066869,0.001556999,0.001035029,0.0008159586,0.001419331,0.0005184339,0.0003003614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834203,"about_ca_system_score_gemma":0.0006585148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08557732,"about_ca_topic_score_gemma":0.1923201,"domain_scores_codex":[0.9994382,0.000172611,0.00003868567,0.0001103784,0.00006382637,0.0001762052],"domain_scores_gemma":[0.9980312,0.000737173,0.0006798212,0.0001467337,0.0002530291,0.0001519976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001045227,0.0001400948,0.9773707,0.00003919788,0.00008331559,0.0005682202,0.01384697,0.0001754651,0.0004014018,0.0005097798,0.0002679113,0.006492469],"study_design_scores_gemma":[0.00000415955,0.00005675812,0.9611576,0.0000327105,0.00003061988,0.00007682472,0.03775746,0.0001583931,0.00009420906,0.0001269994,0.0004989021,0.000005357282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992582,0.00003304912,0.00002093941,0.00003228406,8.124568e-7,0.000001502794,0.00004330277,5.571566e-7,0.0006093363],"genre_scores_gemma":[0.9995288,0.00005657967,0.00002596983,0.00001623753,7.911017e-7,0.000003091318,0.00007659815,7.375609e-7,0.000291206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08557732,"threshold_uncertainty_score":0.1701584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080110624074522,"score_gpt":0.2974652483141617,"score_spread":0.1894541859067094,"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."}}