{"id":"W2256302753","doi":"","title":"Technologies and Educational Opportunities of Azerbaijani Economy(Azerbaycan Ekonomisi Bilgi Teknolojileri ve Egitim Fırsatları)","year":2013,"lang":"tr","type":"article","venue":"SSRN Electronic Journal","topic":"Cultural, Linguistic, Economic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"SWOT analysis; Economy; Political science; Population; Geography; Economic growth; Economics; Management; Sociology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00163904,0.0004815842,0.0007972895,0.0003372497,0.001072447,0.0004497428,0.0008526992,0.0003344716,0.0009200114],"category_scores_gemma":[0.0008984232,0.0004548908,0.0002454958,0.0002656278,0.001964366,0.000734852,0.0002907656,0.001652637,0.0001220996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062222,"about_ca_system_score_gemma":0.005489422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372774,"about_ca_topic_score_gemma":0.003527787,"domain_scores_codex":[0.9951757,0.0001323797,0.001069983,0.000543852,0.0002455735,0.002832491],"domain_scores_gemma":[0.9973693,0.0004088414,0.001082651,0.0002861959,0.0006560744,0.0001969146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003029554,0.0001589208,0.01167815,0.00006194895,0.00111689,0.00000191594,0.006802592,0.000004882146,0.000071699,0.9289629,0.008539795,0.04256997],"study_design_scores_gemma":[0.0005300687,0.0004037077,0.00314836,0.0001106044,0.0001631467,0.0001908585,0.3882833,0.00003760445,0.00007805423,0.5660847,0.04036228,0.0006072732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.852952,0.02929603,0.00001521571,0.03581154,0.001359739,0.0008627104,0.00005570786,0.0001281049,0.07951893],"genre_scores_gemma":[0.9398111,0.04473085,0.0001432315,0.00009900169,0.00114383,0.00006039359,0.000008253362,0.00003929902,0.01396406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3814807,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865169290892345,"score_gpt":0.2622129139797594,"score_spread":0.233561221070836,"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."}}