{"id":"W4235715903","doi":"10.1787/leo-2017-4-en","title":"Executive Summary","year":2016,"lang":"en","type":"paratext","venue":"Latin American economic outlook","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Quarter (Canadian coin); Executive summary; Political science; Politics; Development economics; Population; Economic growth; Economy; Geography; Economics; Sociology; Demography; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002384829,0.0008277959,0.0007766163,0.002109763,0.001437681,0.006129107,0.0020837,0.003153374,0.5170279],"category_scores_gemma":[0.0116881,0.0003829711,0.0006326998,0.002898331,0.0004227698,0.003302469,0.001397565,0.003090899,0.4922679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928391,"about_ca_system_score_gemma":0.007761157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008342001,"about_ca_topic_score_gemma":0.008382038,"domain_scores_codex":[0.9978164,0.0002321741,0.0001642594,0.0002691274,0.001187654,0.0003302507],"domain_scores_gemma":[0.9910356,0.000692838,0.0003678866,0.000490558,0.006405663,0.00100735],"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":[0.000006654358,0.000004993276,0.00003145472,0.00006633567,6.081128e-7,0.000007025568,0.000005130622,0.000009288656,0.00001291649,0.000645961,0.9869435,0.01226609],"study_design_scores_gemma":[0.000003298799,0.000003694177,0.0001986332,0.0001430617,8.744192e-7,0.000007104569,0.00001935396,0.000006831869,0.00001337449,0.0001843761,0.9994177,0.000001810307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003634566,0.006966385,0.0007318729,0.04298535,0.0693965,0.0007745693,0.02455553,0.0008369402,0.8533893],"genre_scores_gemma":[0.001909049,0.007017919,0.0004188495,0.01241382,0.009661075,0.0004329954,0.01318546,0.0003207471,0.95464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4829721,"threshold_uncertainty_score":0.6889011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005854892438013522,"score_gpt":0.225771267116194,"score_spread":0.2199163746781805,"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."}}