{"id":"W2004997499","doi":"10.1080/00210862.2012.703486","title":"Iran's “Twenty-Year Vision Document”: An Outlook on Science and Technology","year":2012,"lang":"en","type":"article","venue":"Iranian Studies","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ratification; Ranking (information retrieval); Plan (archaeology); Investment (military); Regional science; Political science; Economic growth; Geography; Computer science; Economics; Politics; Artificial intelligence; Law","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004991848,0.001103151,0.0004671372,0.004993252,0.00188268,0.005247864,0.000974696,0.002333529,0.004656007],"category_scores_gemma":[0.002913932,0.0002601971,0.0005405637,0.00491987,0.0007705289,0.002460468,0.002007723,0.002626165,0.003212673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008072144,"about_ca_system_score_gemma":0.0326669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03739519,"about_ca_topic_score_gemma":0.03003864,"domain_scores_codex":[0.9978374,0.0001981826,0.0001345745,0.0000773666,0.001261567,0.0004909468],"domain_scores_gemma":[0.9980766,0.00009731593,0.0002138917,0.0000502142,0.001079911,0.000482103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001718319,0.0001989257,0.004817763,0.0008051678,0.00004110536,0.0003167915,0.0005265771,0.0007871345,0.001400157,0.05412729,0.7424717,0.1943356],"study_design_scores_gemma":[0.00001912664,0.0001020809,0.01198325,0.0001780672,0.00001329187,0.0001381813,0.0005640301,0.0001964215,0.0004642989,0.002802759,0.9835065,0.00003190524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06229221,0.1558701,0.008506467,0.245611,0.06708797,0.000842267,0.02138419,0.002072733,0.4363331],"genre_scores_gemma":[0.409135,0.1643744,0.05956242,0.02867145,0.009943876,0.001133921,0.04492095,0.0004442575,0.2818137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9950067,"threshold_uncertainty_score":0.07435501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5430716102093517,"score_gpt":0.6059603007241307,"score_spread":0.06288869051477897,"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."}}