{"id":"W2965852225","doi":"","title":"Gender Differences in Work-Integrated Learning Assessments.","year":2019,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Work (physics); Computer science; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001101862,0.00008077043,0.0001134592,0.00009445908,0.0001930219,0.0001236368,0.0005467778,0.00005824118,0.007668913],"category_scores_gemma":[0.0006193866,0.00008034717,0.00001566153,0.00053086,0.00007998599,0.0004596059,0.00007887817,0.000194753,0.0004316368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559321,"about_ca_system_score_gemma":0.001396443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507487,"about_ca_topic_score_gemma":0.00053163,"domain_scores_codex":[0.9985538,0.0003210763,0.0001998966,0.0003587716,0.0003236756,0.0002427831],"domain_scores_gemma":[0.9988963,0.000542737,0.0000707053,0.0003235681,0.00007642582,0.00009028927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003588481,0.0001010364,0.9797221,0.000004115369,0.000006395077,8.530219e-8,0.008897092,0.00000411518,0.000003583817,0.002824942,0.005014915,0.003418074],"study_design_scores_gemma":[0.00007934622,0.000005425966,0.8904629,0.00002497835,0.000002970924,1.249773e-7,0.01247829,0.00002664804,3.996679e-7,0.0002735585,0.09654139,0.0001039276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723874,0.00007160658,0.00005086831,0.002730254,0.001241364,0.0001408631,0.00001192876,0.00003161918,0.02333413],"genre_scores_gemma":[0.9806015,0.00001532601,0.005350422,0.0001405526,0.0002312895,0.00001695348,0.0005510278,0.000006988687,0.01308589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09152648,"threshold_uncertainty_score":0.9932382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774446771178955,"score_gpt":0.4346953933341846,"score_spread":0.2572507162162891,"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."}}