{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02155574,0.0009046627,0.0006017029,0.002859834,0.00215529,0.002712437,0.002748452,0.003724632,0.1021471],"category_scores_gemma":[0.0437384,0.0006668106,0.0007651628,0.003336128,0.001466279,0.00275909,0.006350919,0.00323211,0.01783652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003403864,"about_ca_system_score_gemma":0.02475632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0573917,"about_ca_topic_score_gemma":0.0479923,"domain_scores_codex":[0.9938372,0.002955957,0.0007993153,0.0002320479,0.001550597,0.0006249089],"domain_scores_gemma":[0.9819556,0.009048773,0.0009441937,0.001726278,0.004582925,0.001742182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000916563,0.00007753221,0.001329271,0.001495201,0.00003765667,0.00008823117,0.0003778085,0.0005446518,0.000239995,0.01538149,0.9524429,0.02706849],"study_design_scores_gemma":[0.0009567822,0.0002318891,0.01191444,0.00275946,0.0001306666,0.00005618448,0.001246347,0.0009236122,0.0009048767,0.01038163,0.9704089,0.00008534321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008607483,0.005595075,0.01560929,0.05918544,0.01947729,0.028497,0.5320398,0.003671979,0.3273167],"genre_scores_gemma":[0.08181107,0.009948555,0.0350123,0.03100655,0.004159653,0.1479644,0.2427053,0.001314534,0.4460776],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1021471,"threshold_uncertainty_score":0.3417159,"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."}}