{"id":"W2329950980","doi":"","title":"RECODING GENDER: WOMEN’S CHANGING PARTICIPATION IN COMPUTING","year":2016,"lang":"en","type":"article","venue":"Alternate routes","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004353763,0.0003330806,0.0002168145,0.001402354,0.00440758,0.00811018,0.0008713728,0.001451388,0.01019037],"category_scores_gemma":[0.0156372,0.0002737264,0.000299144,0.001532112,0.006947459,0.006965777,0.004477117,0.001857031,0.0006493949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031256,"about_ca_system_score_gemma":0.002326913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058867,"about_ca_topic_score_gemma":0.01430106,"domain_scores_codex":[0.9955491,0.002995427,0.0001083642,0.0003717169,0.0003717886,0.0006036136],"domain_scores_gemma":[0.9926648,0.003963026,0.000917218,0.0005912306,0.001064035,0.0007997233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001960803,0.00005557092,0.03239132,0.0001207146,0.00001700942,0.0003271228,0.8645579,0.00007819646,0.00149812,0.04489726,0.003051353,0.05280943],"study_design_scores_gemma":[0.00001020424,0.00005246175,0.03133725,0.0002001627,0.00001646418,0.0002406495,0.8997127,0.000164727,0.0007538598,0.01322211,0.05425834,0.00003102043],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520955,0.001438685,0.004597935,0.01597148,0.0005459412,0.00003695585,0.0001861678,0.00003828546,0.1250891],"genre_scores_gemma":[0.9933199,0.0002209258,0.0005560913,0.000479321,0.0000397072,0.00001503478,0.00002385816,0.00003975062,0.005305451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955924,"threshold_uncertainty_score":0.03409016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659608262492139,"score_gpt":0.3529797934206664,"score_spread":0.3063837107957451,"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."}}