{"id":"W4243929053","doi":"10.2139/ssrn.3659321","title":"Resettlement","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ontario Museum; Queen's University; University of Toronto","funders":"","keywords":"Political science","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":[0.000582592,0.0004549796,0.000243775,0.00149786,0.00274913,0.001192133,0.001242185,0.0008322583,0.1820581],"category_scores_gemma":[0.002559187,0.0001956521,0.00054105,0.0007751416,0.0005225367,0.0006081057,0.002477687,0.001274814,0.03127769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107013,"about_ca_system_score_gemma":0.002263156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504528,"about_ca_topic_score_gemma":0.03741806,"domain_scores_codex":[0.9994777,0.00007353236,0.00003568467,0.00008217942,0.0001451525,0.0001857413],"domain_scores_gemma":[0.9991813,0.00006975854,0.00008791863,0.0001555345,0.0002428257,0.0002626345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003376391,0.0002891119,0.04253161,0.0006575141,0.00005875866,0.00223358,0.005163593,0.0005570615,0.002183653,0.02408314,0.4512419,0.4706624],"study_design_scores_gemma":[0.0000164999,0.0002017639,0.06345308,0.0002031452,0.00001775435,0.0008828627,0.003145078,0.0001407298,0.0007860172,0.0007741586,0.9303576,0.0000213391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.153447,0.002939753,0.00162311,0.007870539,0.004808223,0.0007062046,0.008975901,0.001105903,0.8185233],"genre_scores_gemma":[0.1854976,0.001212323,0.0008596259,0.002270048,0.0003968455,0.0002898051,0.005674527,0.0001538446,0.8036454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1820581,"threshold_uncertainty_score":0.609045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965750271354574,"score_gpt":0.3849773877811342,"score_spread":0.3653198850675884,"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."}}