{"id":"W1793256898","doi":"10.6000/1929-4409.2015.04.20","title":"Major Selection among Saudi Male University Students: a Multinomial Logit Model","year":2015,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Selection (genetic algorithm); Logistic regression; Multinomial distribution; Demography; Logit; Statistics; Psychology; Mathematics; Sociology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005951659,0.00005772327,0.000132695,0.0001275703,0.0001546193,0.00001760873,0.0003604602,0.0002074662,0.00006646267],"category_scores_gemma":[0.0002030723,0.00005602364,0.00004806653,0.0000123367,0.0005886637,0.0003425439,0.00005798842,0.0002794224,0.000009997002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601374,"about_ca_system_score_gemma":0.0002568919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003052377,"about_ca_topic_score_gemma":0.000216778,"domain_scores_codex":[0.9991882,0.0001989273,0.0001646608,0.00008957621,0.000212552,0.0001461027],"domain_scores_gemma":[0.9990612,0.0001003241,0.000201166,0.00002798218,0.0005117207,0.00009758578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007698698,0.0001309173,0.922161,0.0000028566,0.0002772426,0.000103392,0.03237972,0.0006053376,0.0001365499,0.03457201,0.006393717,0.002467332],"study_design_scores_gemma":[0.01432459,0.001438393,0.6902648,0.00006737999,0.0003874596,0.0008621048,0.04417883,0.005027242,0.0002147637,0.1774871,0.06499093,0.0007563148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934653,0.00009572991,0.00117359,0.002367826,0.0008388427,0.00003240089,0.000002418672,0.000008984363,0.002014931],"genre_scores_gemma":[0.9969952,0.0002541966,0.0004907886,0.0002983492,0.0006689439,3.513717e-7,0.000001351703,0.000002525656,0.001288355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2318962,"threshold_uncertainty_score":0.2284578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09055050369422953,"score_gpt":0.3631732185624818,"score_spread":0.2726227148682523,"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."}}