{"id":"W3046265806","doi":"10.5539/jsd.v13n4p104","title":"Review of the Evidence: The Interface between Poverty, Livelihoods, Institutions, and Community Development","year":2020,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Poverty; Sustainable development; Investment (military); Business; Institution; Economic growth; Empirical evidence; Economics; Public economics; Political science; Geography; Agriculture","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":[0.002581398,0.0002491436,0.0003944571,0.00004957382,0.0009645557,0.00004531354,0.001087436,0.00006437119,0.0002392105],"category_scores_gemma":[0.0009761183,0.0001450344,0.00009166971,0.0006408851,0.0003832747,0.0005211335,0.001984805,0.0007396156,0.00002727547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009329935,"about_ca_system_score_gemma":0.0006925241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009337372,"about_ca_topic_score_gemma":0.000006802974,"domain_scores_codex":[0.9972609,0.0004098499,0.001016243,0.0001711596,0.0007241102,0.0004177275],"domain_scores_gemma":[0.99853,0.0002232472,0.0006732333,0.0002683643,0.00009053551,0.000214638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000281003,0.0007084235,0.5936806,0.01539701,0.0008312346,0.0001255329,0.1164647,0.0007714275,0.001172668,0.0003988302,0.1711824,0.09898614],"study_design_scores_gemma":[0.0004121196,0.0001255359,0.5137106,0.002804001,0.00007820739,0.00004420623,0.0209227,0.000003544403,0.004916633,0.000136157,0.456554,0.0002922803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710915,0.01186719,0.0003750796,0.01456129,0.00008119634,0.0007923097,0.000001174161,0.00001175748,0.001218486],"genre_scores_gemma":[0.9876567,0.004287429,0.001756862,0.005601827,0.00004457645,0.00001701242,0.000001617632,0.00001665262,0.0006172997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2853716,"threshold_uncertainty_score":0.741868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322288114054704,"score_gpt":0.2856856621414707,"score_spread":0.2424627810009237,"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."}}