{"id":"W7164913611","doi":"10.1080/17153379.2017.12559277","title":"Ghost Protocol: Development and Displacement in Global China.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Displacement (psychology); Development (topology); Vertical displacement; Displacement method","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":[0.0007721388,0.0001898136,0.0001812619,0.00003546259,0.001067157,0.0002939613,0.0003607226,0.00008934078,0.0004970114],"category_scores_gemma":[0.0001047565,0.000180776,0.00003220689,0.00007141371,0.0005625269,0.0004109335,0.0002167478,0.0001064925,0.0001904709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007460474,"about_ca_system_score_gemma":0.0001351482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122826,"about_ca_topic_score_gemma":0.003983144,"domain_scores_codex":[0.9982406,0.0001039919,0.0002558085,0.0003716763,0.000481304,0.000546584],"domain_scores_gemma":[0.9991634,0.00001484816,0.0001807884,0.000376723,0.000006560131,0.0002576242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002767639,0.0009122647,0.8898486,0.000101139,0.00007299062,0.00009440839,0.05529258,0.00001846948,0.0001964209,0.0147643,0.002187264,0.03623482],"study_design_scores_gemma":[0.003120512,0.00016368,0.5243665,0.0001876087,0.00001510333,0.000004154308,0.1907416,0.00006079678,0.000632033,0.0007392984,0.2791267,0.0008419587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1058535,0.00001573868,0.00008166854,0.0007511117,0.0001937685,0.01998832,0.00001389014,0.00004630804,0.8730558],"genre_scores_gemma":[0.9910932,0.00001189655,0.0004310656,0.000007044343,0.00004563098,0.006308876,0.000004386727,0.00001198269,0.002085896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852398,"threshold_uncertainty_score":0.8207818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830106119294932,"score_gpt":0.3898903808023985,"score_spread":0.3715893196094492,"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."}}