{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002310847,0.0005629288,0.0003448874,0.001646242,0.02581432,0.01745728,0.001665788,0.003928842,0.07888773],"category_scores_gemma":[0.006741946,0.0003127234,0.0003694484,0.001669841,0.0106228,0.02023528,0.01597331,0.003431563,0.009234644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167678,"about_ca_system_score_gemma":0.006092981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00540831,"about_ca_topic_score_gemma":0.01729481,"domain_scores_codex":[0.9972705,0.00130592,0.00003863705,0.0002302871,0.0002890399,0.0008655622],"domain_scores_gemma":[0.992609,0.001829118,0.0005096137,0.0004935352,0.0005737043,0.003985089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003115633,0.0004772146,0.01733383,0.000252049,0.00002837599,0.003037012,0.4089999,0.0001249791,0.00200168,0.2736945,0.1528098,0.1409291],"study_design_scores_gemma":[0.00002598642,0.00006222046,0.004649758,0.0002807682,0.00001964409,0.0004766608,0.5559924,0.0001438571,0.0006275821,0.05489438,0.3827962,0.00003053521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2418323,0.0014186,0.005361605,0.06045918,0.001591538,0.0001107855,0.0003147112,0.0004070371,0.6885043],"genre_scores_gemma":[0.8877695,0.0005119594,0.00127879,0.004179783,0.0003723077,0.00008567749,0.0001129522,0.0004099495,0.105279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9741857,"threshold_uncertainty_score":0.2639058,"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."}}