{"id":"W2651746409","doi":"","title":"Irán decide las claves para su futuro","year":2017,"lang":"es","type":"article","venue":"Política exterior","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007394695,0.0006357608,0.001585117,0.0004847075,0.001406442,0.002381614,0.001636151,0.0005015457,0.002951265],"category_scores_gemma":[0.0005575088,0.0007892062,0.0008349853,0.0001553509,0.0005436565,0.0008785196,0.000459516,0.0004344231,0.01103819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032718,"about_ca_system_score_gemma":0.0001118984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393552,"about_ca_topic_score_gemma":0.0004257741,"domain_scores_codex":[0.9958913,0.00005011069,0.001606981,0.001192615,0.00007344434,0.001185545],"domain_scores_gemma":[0.9949213,0.0001934787,0.001711736,0.002680056,0.00005915703,0.0004342926],"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":[0.0001778049,0.0004044028,0.3528269,0.0003065414,0.0008309608,0.00009488618,0.001335138,0.00001713901,0.0003456582,0.6147264,0.007917134,0.02101707],"study_design_scores_gemma":[0.0008954405,0.0001263091,0.5420475,0.00009765512,0.0001454947,0.00001325797,0.00007528619,0.0007132603,0.0004354895,0.021166,0.4332978,0.0009865739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291944,0.006776948,0.0004754909,0.0120894,0.002405321,0.0003522984,0.00131024,0.00007138978,0.04732451],"genre_scores_gemma":[0.9827319,0.005465125,0.0008862659,0.001353784,0.002586709,0.00005087944,0.00002947843,0.0001122062,0.006783626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5935603,"threshold_uncertainty_score":0.9998936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935762312767282,"score_gpt":0.3011226042611547,"score_spread":0.2517649811334818,"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."}}