{"id":"W2543146833","doi":"","title":"ICT Institutional Framework in the Americas Region","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Latin Americans; Revenue; Jurisdiction; Information and Communications Technology; Political science; Economic growth; Regional science; Economy; Development economics; Business; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0006996241,0.0001284762,0.0001391174,0.002458372,0.001126628,0.003540893,0.000296626,0.0002183006,0.002879985],"category_scores_gemma":[0.002147947,0.00007413376,0.0001916667,0.005032457,0.001797613,0.001089611,0.001936818,0.0006519234,0.000132811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006691469,"about_ca_system_score_gemma":0.005131033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1188575,"about_ca_topic_score_gemma":0.08753152,"domain_scores_codex":[0.9992718,0.000176387,0.00004226859,0.0001081033,0.0001279869,0.000273515],"domain_scores_gemma":[0.9987,0.0002257944,0.0003941667,0.0001029953,0.0003732162,0.0002037441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007600049,0.00007855417,0.1096505,0.0002151361,0.00006106607,0.0008873997,0.01018783,0.004110474,0.0009373663,0.7944931,0.006609325,0.07269326],"study_design_scores_gemma":[0.00003909357,0.00008806033,0.576204,0.0009364185,0.0001038284,0.0009035334,0.03721883,0.003076262,0.001066616,0.05665336,0.3236258,0.00008412253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6655064,0.005450361,0.00265007,0.005150592,0.00007048082,0.00007860972,0.001501987,0.0001028031,0.3194888],"genre_scores_gemma":[0.9950092,0.001230878,0.0005533049,0.0002478161,0.00001614414,0.00002770169,0.0004384154,0.000008412656,0.002468169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188575,"threshold_uncertainty_score":0.2363313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010122546343688,"score_gpt":0.2446413017394787,"score_spread":0.2345187553957907,"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."}}