{"id":"W6986947937","doi":"","title":"Representation of women in CS: how do we measure a program's success?","year":2009,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Measure (data warehouse); Set (abstract data type); Sample (material); Data set; Psychological intervention; Correlation","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":[0.01047252,0.0002431809,0.000486733,0.003445449,0.001192448,0.002552075,0.001030772,0.0006281781,0.002621242],"category_scores_gemma":[0.07857626,0.0001475046,0.000344054,0.0039136,0.002303223,0.003046533,0.002973805,0.001306487,0.000779111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458212,"about_ca_system_score_gemma":0.001368775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008295422,"about_ca_topic_score_gemma":0.01010761,"domain_scores_codex":[0.9918016,0.004016486,0.0005092186,0.0005634547,0.001879675,0.001229675],"domain_scores_gemma":[0.937225,0.03182572,0.01624385,0.003903843,0.004485731,0.006315923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009680497,0.00009052219,0.95838,0.00003245756,0.00005676447,0.00003529467,0.003767368,0.0003099352,0.0002041876,0.001005982,0.001452621,0.03456817],"study_design_scores_gemma":[0.0000115086,0.0003294814,0.9704944,0.00008852121,0.00003745109,0.0001365822,0.01750994,0.001968881,0.0009052788,0.001756046,0.006723898,0.00003801612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859473,0.000330395,0.003530676,0.002355281,0.00005528004,0.00006576654,0.0005186061,0.00003391722,0.007162875],"genre_scores_gemma":[0.9981608,0.0001031841,0.0007478698,0.0001471203,0.00003921967,0.00006141401,0.0002199366,0.00001227123,0.0005080294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047252,"threshold_uncertainty_score":0.05538464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913477752984628,"score_gpt":0.2526464897758759,"score_spread":0.2335117122460297,"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."}}