{"id":"W13981859","doi":"","title":"Offline: Where Tech Communities Succeed With Women","year":2009,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Online and offline; Computer science; Operating system","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009657693,0.0002093635,0.0002595443,0.0001248822,0.002007419,0.0004925982,0.002296919,0.0001986747,0.0003342874],"category_scores_gemma":[0.00004278613,0.0001510378,0.00003203881,0.00132659,0.0007997543,0.0002526144,0.0002230096,0.0003091053,0.00006425017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700596,"about_ca_system_score_gemma":0.0002629801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007688683,"about_ca_topic_score_gemma":0.00645914,"domain_scores_codex":[0.9982289,0.0002835233,0.0002236632,0.0002394617,0.0004212304,0.0006032418],"domain_scores_gemma":[0.998501,0.0001468703,0.0001657386,0.0007981487,0.0002872895,0.0001009762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005778885,0.001232027,0.04963879,0.00006782256,0.0002071077,0.00001833501,0.5956274,0.001096535,0.0002739099,0.01921406,0.0479731,0.2840731],"study_design_scores_gemma":[0.0003827751,0.00005549838,0.02261113,0.00004022343,0.00001889571,0.00001293205,0.2206663,0.00001985226,0.00001187641,0.00156507,0.7543755,0.0002398973],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912999,0.0003311036,0.0009816837,0.03198137,0.000104231,0.0009290382,0.000003564417,0.0005067477,0.1738624],"genre_scores_gemma":[0.9786242,0.00004874016,0.0002131726,0.00143072,0.0002032471,0.00009155018,0.00001233942,0.0000272798,0.01934873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7064024,"threshold_uncertainty_score":0.9992918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066508718530869,"score_gpt":0.2865797636110647,"score_spread":0.2659146764257561,"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."}}