{"id":"W4402950828","doi":"10.5539/ijef.v16n10p74","title":"The Impact of Educational Level on the Unemployment Rate in Saudi Arabia: A Time Series Quantitative Analysis from 2016 to 2023","year":2024,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Series (stratigraphy); Unemployment rate; Demographic economics; Economics; Economic growth; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001016779,0.0001582608,0.0002018461,0.001213053,0.000305101,0.0007821833,0.0002367111,0.0003336243,0.001269213],"category_scores_gemma":[0.002917403,0.0000894995,0.0004193746,0.001620693,0.0002361165,0.0004692419,0.0005122801,0.0004414242,0.0003156008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146051,"about_ca_system_score_gemma":0.0008016909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04016548,"about_ca_topic_score_gemma":0.04294139,"domain_scores_codex":[0.9995477,0.00009794669,0.00007748472,0.00005016415,0.0001186771,0.0001080403],"domain_scores_gemma":[0.9977963,0.0004220839,0.000943447,0.00005838655,0.0005835274,0.0001962054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001331717,0.00005954502,0.9854631,0.0001169108,0.0000727446,0.0002446671,0.002692509,0.0008443324,0.0003020058,0.0003742742,0.0007837006,0.008912894],"study_design_scores_gemma":[0.000001171579,0.00005984208,0.9931725,0.00005128483,0.00001476233,0.00007004239,0.004423935,0.0009646272,0.00009027461,0.00003862771,0.001104052,0.000008889414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975274,0.0002565848,0.00008118227,0.0001767243,0.00001016248,0.000009735068,0.001237546,0.00000215786,0.0006984894],"genre_scores_gemma":[0.9983772,0.0002032996,0.0000612544,0.00001991718,0.00001010451,0.00001120716,0.0009080475,0.000001333378,0.0004076563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04016548,"threshold_uncertainty_score":0.07986337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517016210324823,"score_gpt":0.3404458849025533,"score_spread":0.3052757227993051,"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."}}