{"id":"W2169254038","doi":"10.1007/s10668-010-9270-8","title":"Sustainable agro-forestry in Myanmar: from intentions to behavior","year":2010,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Government (linguistics); Environmental degradation; Poverty; Ecological footprint; Urbanization; Sustainable development; State (computer science); Feeling; Economic growth; Development economics; Business; Political science; Socioeconomics; Economics; Psychology; Ecology; Social psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001190096,0.0003567632,0.0002852964,0.0001188754,0.0003628823,0.00007875827,0.0003529637,0.0001869887,0.005515181],"category_scores_gemma":[0.0005603892,0.0003619067,0.00006523558,0.0002800236,0.0007133925,0.0004053839,0.0009517883,0.000518314,0.0002070551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000536,"about_ca_system_score_gemma":0.0001320386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050643,"about_ca_topic_score_gemma":0.0008623683,"domain_scores_codex":[0.9968837,0.000131745,0.0005853533,0.001005555,0.0005627739,0.0008307978],"domain_scores_gemma":[0.9985709,0.0001390049,0.0000775792,0.0007010602,0.0000147513,0.0004967183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004886301,0.0008338513,0.9754698,0.000024822,0.000006054298,0.00004075376,0.004701097,0.0001087051,0.0006385989,0.001001228,0.0001919866,0.01693421],"study_design_scores_gemma":[0.0003208007,0.00003661546,0.9143643,0.000003411283,0.0000104595,0.000002604712,0.01464884,0.00002429772,0.0008775729,0.00635945,0.06293786,0.0004137268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931028,0.00002042553,0.0005258623,0.003013053,0.000129398,0.001481695,0.00000495076,0.00004904552,0.0016728],"genre_scores_gemma":[0.9849521,0.000007800595,0.008885481,0.0003061449,0.00002702278,0.0007472101,0.00003122216,0.00002661187,0.00501644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06274587,"threshold_uncertainty_score":0.9998833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005462802889474982,"score_gpt":0.2281313672864753,"score_spread":0.2226685643970004,"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."}}