{"id":"W2885201029","doi":"10.5539/jsd.v11n4p288","title":"Assessing the Resettlement Scheme of the Bui Hydro – Project Using the Social Lens","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustenance; Livelihood; Plan (archaeology); Environmental planning; Likert scale; Settlement (finance); Scope (computer science); Snowball sampling; Environmental resource management; Political science; Business; Geography; Psychology; Agriculture; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005342081,0.0001608908,0.0002155152,0.00009832133,0.00328065,0.0002707263,0.0008662157,0.00007329015,0.0002087206],"category_scores_gemma":[0.0003381606,0.00008096804,0.000143703,0.0006166079,0.00108156,0.0006692099,0.0003634673,0.000331654,0.000004002326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729948,"about_ca_system_score_gemma":0.002621356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00044095,"about_ca_topic_score_gemma":0.0001109137,"domain_scores_codex":[0.9965281,0.0005911248,0.0006537515,0.0001383315,0.001432894,0.0006558067],"domain_scores_gemma":[0.9983013,0.0001168943,0.0009750043,0.0002129024,0.0003351319,0.00005875873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004089091,0.001488243,0.07425966,0.0002608516,0.001656042,0.0002048028,0.7976254,0.0003136747,0.02583859,0.02029806,0.07139523,0.006250566],"study_design_scores_gemma":[0.0005786104,0.0001078755,0.01932137,0.0001129502,0.00007176132,0.0000184841,0.5182279,0.00004896832,0.008153478,0.0003364429,0.4528185,0.0002037047],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871669,0.0001182887,0.0002030569,0.005825222,0.0003327251,0.000618078,9.058016e-7,0.000005501925,0.005729306],"genre_scores_gemma":[0.9958972,0.00003227379,0.001152567,0.0003911309,0.0003990432,0.000006448447,3.590898e-7,0.00001744422,0.002103494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3814232,"threshold_uncertainty_score":0.998017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696995367995614,"score_gpt":0.444434711908422,"score_spread":0.3874647582284659,"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."}}