{"id":"W2135697995","doi":"","title":"Adoption of Educational Technology: How Does Gender Matter?.","year":2007,"lang":"en","type":"article","venue":"International journal on teaching and learning in higher education","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Professional development; Technology integration; Educational technology; Process (computing); Pedagogy; Medical education; Medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007846395,0.0002300108,0.0006802493,0.001034532,0.0009178245,0.00198318,0.0005833685,0.0009085161,0.006950737],"category_scores_gemma":[0.03298973,0.0001941848,0.0007590479,0.001253865,0.001929306,0.002196831,0.0009424795,0.0006327345,0.0005805854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007296674,"about_ca_system_score_gemma":0.0009729929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008055649,"about_ca_topic_score_gemma":0.01220675,"domain_scores_codex":[0.9959727,0.001705465,0.0002407172,0.0005064558,0.001071293,0.0005033962],"domain_scores_gemma":[0.9784899,0.01529277,0.003252291,0.0005014958,0.001202561,0.001260855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003560174,0.0001198296,0.9280427,0.0001432599,0.0002015936,0.0003172684,0.01092379,0.00005430199,0.0002467131,0.001657551,0.002148286,0.05578887],"study_design_scores_gemma":[0.00001561254,0.0002659702,0.9767166,0.0002324827,0.0001237323,0.0004356691,0.01589336,0.000268955,0.0001307468,0.001956609,0.003934979,0.0000252441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685352,0.009287952,0.0008575022,0.008428218,0.000375535,0.00006307518,0.0005004414,0.00001821587,0.01193384],"genre_scores_gemma":[0.9977448,0.0006935635,0.00009607815,0.0004589993,0.00003786484,0.00001300291,0.00005856779,0.000008241164,0.0008889282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008055649,"threshold_uncertainty_score":0.04149622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112529228960565,"score_gpt":0.3498210293087947,"score_spread":0.3286957370191891,"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."}}