{"id":"W2123865730","doi":"10.19173/irrodl.v14i3.1299","title":"De-gendering in the use of e-learning","year":2013,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"ICT Impact and Policies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Point (geometry); Psychology; Institution; Character (mathematics); Educational technology; Social psychology; Sociology; Mathematics education; Mathematics; Political science; Social science","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":[0.004887428,0.0002419902,0.0002106706,0.001230671,0.00100008,0.002722346,0.0003914635,0.0005115648,0.005540658],"category_scores_gemma":[0.01110657,0.00009618951,0.0002140638,0.001310397,0.003080437,0.003412534,0.001777309,0.0006147025,0.0005271517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230011,"about_ca_system_score_gemma":0.0007641725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035195,"about_ca_topic_score_gemma":0.002322284,"domain_scores_codex":[0.992433,0.004753596,0.0003848366,0.0006127051,0.001296975,0.0005188483],"domain_scores_gemma":[0.9912559,0.005611544,0.001616683,0.0006482059,0.0006190954,0.0002485937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002265135,0.0001597762,0.1051947,0.000606195,0.00004375556,0.000887707,0.2252015,0.0002569296,0.004170728,0.3857142,0.00258645,0.2749515],"study_design_scores_gemma":[0.00002269906,0.0004345073,0.2117887,0.001518581,0.00007494353,0.003919708,0.3110906,0.0008387876,0.006875372,0.1237693,0.3395842,0.00008258392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171321,0.0123685,0.01162751,0.006209451,0.0003864752,0.00008676337,0.0001821118,0.0000267944,0.2519803],"genre_scores_gemma":[0.9910786,0.001492155,0.0006662783,0.0004101517,0.00006154521,0.00001590622,0.0000220852,0.00001240939,0.00624095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005540658,"threshold_uncertainty_score":0.02584749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414395795717731,"score_gpt":0.4099498482353474,"score_spread":0.2685102686635743,"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."}}