{"id":"W4390033088","doi":"10.52358/mm.vi13.394","title":"Digital Capacity Building in Schools: Strategies, Challenges, and Outcomes","year":2023,"lang":"en","type":"article","venue":"Médiations et médiatisations","topic":"Digital literacy in education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cornerstone; Capacity building; Context (archaeology); Knowledge management; Public relations; Technology integration; Resource (disambiguation); Political science; Educational technology; Engineering ethics; Sociology; Pedagogy; Engineering; Computer 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":[0.02587384,0.0006445026,0.0005163134,0.002795578,0.008247074,0.0164515,0.002438763,0.003252658,0.008473485],"category_scores_gemma":[0.03304169,0.0002739389,0.0006146646,0.002687575,0.006398474,0.009870819,0.01862785,0.003685403,0.001187964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009587404,"about_ca_system_score_gemma":0.03211937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057397,"about_ca_topic_score_gemma":0.009356942,"domain_scores_codex":[0.979565,0.01314287,0.0005555726,0.000672058,0.001952825,0.004111659],"domain_scores_gemma":[0.9690002,0.011665,0.002144604,0.001263336,0.004385583,0.01154126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003508599,0.004917915,0.1014588,0.002850616,0.0001144982,0.001310463,0.09723049,0.002960756,0.0008974242,0.2248006,0.02812388,0.5349838],"study_design_scores_gemma":[0.0001548729,0.001228431,0.03745986,0.004383544,0.000111896,0.0004391619,0.7179317,0.004088145,0.00416672,0.09470946,0.1352016,0.0001246558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7269527,0.005049907,0.01041837,0.1222241,0.0007083166,0.001851421,0.0003078996,0.0003841418,0.1321031],"genre_scores_gemma":[0.9906308,0.0009037756,0.003757399,0.001246054,0.00002990363,0.0003350411,0.00005812952,0.00001909451,0.003019818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02587384,"threshold_uncertainty_score":0.1368356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217915893965227,"score_gpt":0.308231137048193,"score_spread":0.2560519781085408,"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."}}