{"id":"W1552287269","doi":"","title":"Women in Higher Education in Argentina: Equality or Job Feminization","year":2009,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Gender and Feminist Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Feminization (sociology); Gender equality; Gender studies; Demographic economics; Political science; Sociology; Economics","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":[0.0008884959,0.0001371968,0.0002861161,0.0003033265,0.0004552884,0.00004045726,0.0001519559,0.00007423569,0.0004036285],"category_scores_gemma":[0.0003576635,0.0001316176,0.00002025121,0.0008600457,0.000146742,0.0001341966,0.00002261749,0.000102167,0.0000333862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00360957,"about_ca_system_score_gemma":0.001696867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005869963,"about_ca_topic_score_gemma":0.2679038,"domain_scores_codex":[0.9982251,0.0001367552,0.0002702696,0.0002678889,0.0001870739,0.0009129173],"domain_scores_gemma":[0.9993431,0.00006919828,0.00005656251,0.0001248234,0.0001049942,0.0003013504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003067591,0.0001309685,0.233134,0.00004172855,0.00004889305,0.00001851788,0.7165719,0.000004215199,0.000005027531,0.03934982,0.004713033,0.005951213],"study_design_scores_gemma":[0.0002271215,0.00004795688,0.4077071,0.0000256728,0.000003145648,1.661667e-7,0.5323343,2.383327e-7,0.000001024228,0.02081944,0.03864019,0.0001936336],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600923,0.0005789891,2.42177e-7,0.003660272,0.0006594583,0.0002559376,0.000006440338,0.00002672908,0.1347196],"genre_scores_gemma":[0.9619289,0.0003336871,0.00001846186,0.001960272,0.0001909825,0.0001331686,0.00000275373,0.000006562827,0.0354252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2620339,"threshold_uncertainty_score":0.9438899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08815040465014463,"score_gpt":0.3512175501047062,"score_spread":0.2630671454545616,"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."}}