{"id":"W7029025060","doi":"","title":"The ICT gender imbalance in schools and beyond : missed opportunities","year":2010,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"History and Cultural Heritage","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Attrition; Information and Communications Technology; Government (linguistics); Quarter (Canadian coin); Theory of planned behavior; Focus group","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004127847,0.0002515048,0.0002446864,0.0002909853,0.00104396,0.0009276471,0.0007289874,0.0005694643,0.0007064341],"category_scores_gemma":[0.0004172555,0.0002009262,0.00006666419,0.0003576791,0.0008128295,0.001683951,0.0001030588,0.0008251689,0.0001009833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140568,"about_ca_system_score_gemma":0.0009970875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001132888,"about_ca_topic_score_gemma":0.01366633,"domain_scores_codex":[0.9980662,0.0002812245,0.0004221766,0.0002514029,0.0005270856,0.0004518779],"domain_scores_gemma":[0.9988285,0.0000635115,0.0003421994,0.0004061517,0.0001500831,0.0002095342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001503931,0.00002556405,0.00007954473,0.0001975231,0.00001478025,0.00001888127,0.0223822,0.000001249776,0.0005243899,0.1445914,0.7909142,0.04123521],"study_design_scores_gemma":[0.0001357625,0.000005398204,0.00007085702,0.0002246325,0.000006019734,0.000004748467,0.003267016,0.000008490547,0.0001752289,0.0006172765,0.9951988,0.0002857448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000149835,0.0002786304,0.001330738,0.002266184,0.0007933006,0.003997453,0.0000670412,0.0003165568,0.9908003],"genre_scores_gemma":[0.005331812,0.002976405,0.005939256,0.002746999,0.0001970228,0.001593595,0.0001483297,0.00009205549,0.9809746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2042847,"threshold_uncertainty_score":0.8945321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297458640040089,"score_gpt":0.2951557346623186,"score_spread":0.2521811482619177,"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."}}