{"id":"W2991346248","doi":"10.22215/etd/2017-11864","title":"Kill Your Darlings, Caracas: Space as Currency in Venezuela's Capital City","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Obsolescence; Currency; Capital (architecture); Space (punctuation); Context (archaeology); Value (mathematics); Function (biology); Economy; Business; Commerce; Economics; Geography; Monetary economics; Computer science; Marketing","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":[0.0003289334,0.0001260049,0.0001460823,0.0006903796,0.008133186,0.005930274,0.0004160548,0.0005987273,0.005316397],"category_scores_gemma":[0.001027612,0.0001163328,0.00009789017,0.001112315,0.004878125,0.002255579,0.002965674,0.001234701,0.0001364353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00668419,"about_ca_system_score_gemma":0.003227853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.249584,"about_ca_topic_score_gemma":0.4721124,"domain_scores_codex":[0.9997976,0.00006267973,0.000003650124,0.00002062003,0.00001312302,0.0001022189],"domain_scores_gemma":[0.9998222,0.00004966585,0.00003195355,0.0000103079,0.00002273114,0.00006310714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003066332,0.0001525676,0.06263887,0.0003287833,0.00001737799,0.002698348,0.5865502,0.0004626691,0.001714865,0.2373677,0.02177539,0.08598659],"study_design_scores_gemma":[0.00002452654,0.00003960413,0.08836982,0.0005396619,0.0000204466,0.0003469411,0.7471308,0.0002099973,0.000182752,0.01038272,0.15272,0.00003264567],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138398,0.003579484,0.0001893399,0.008875662,0.0001410375,0.00001660706,0.00009376759,0.000009831946,0.07325445],"genre_scores_gemma":[0.9937018,0.0009029185,0.0000721416,0.0001708335,0.00001640808,0.000006395273,0.00002410225,0.000003705916,0.005101638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249584,"threshold_uncertainty_score":0.4962626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529457002364043,"score_gpt":0.3730588895627875,"score_spread":0.337764319539147,"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."}}