{"id":"W4414404428","doi":"10.2139/ssrn.5511436","title":"Gender Differences in University Enrollment and STEM Major: The Role of Tuition Policy in Australia","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Earnings; Incentive; Gender gap; Government (linguistics); Payment; Variation (astronomy); Dispersion (optics)","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":[],"consensus_categories":[],"category_scores_codex":[0.002045043,0.0001165518,0.0004408665,0.001002087,0.001574383,0.001655403,0.0006184584,0.001040214,0.009884927],"category_scores_gemma":[0.007134718,0.0002174565,0.0004370587,0.00159842,0.001303133,0.001223385,0.002016622,0.001518067,0.0004555953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003993875,"about_ca_system_score_gemma":0.004404564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2692493,"about_ca_topic_score_gemma":0.4585178,"domain_scores_codex":[0.9979514,0.0006712953,0.00007830985,0.0002012256,0.0002432047,0.0008545728],"domain_scores_gemma":[0.9931996,0.002022544,0.001419963,0.0001412471,0.0007334098,0.002483206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006285215,0.0005330862,0.917115,0.0001248574,0.0001610431,0.000658305,0.02707436,0.0007699775,0.001135057,0.0195506,0.003193159,0.02905596],"study_design_scores_gemma":[0.000007824364,0.00008004129,0.9890533,0.0000456954,0.00001781234,0.00003713671,0.00729854,0.0004697702,0.00007085905,0.0008490363,0.002059564,0.00001057355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908862,0.0005925318,0.00008345672,0.003621133,0.00002223793,0.00000786799,0.000122303,0.00000258702,0.004661686],"genre_scores_gemma":[0.9967939,0.0001788668,0.00002867521,0.0001976074,0.00001085817,0.000005232581,0.00002544027,0.000003034327,0.00275647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2692493,"threshold_uncertainty_score":0.5353642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350382009248976,"score_gpt":0.3284148805551855,"score_spread":0.2933766796302879,"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."}}