{"id":"W3021622632","doi":"10.18261/issn.1891-943x-2020-01-04","title":"Validating an Instrument to Measure Teachers’Preparedness to Use Digital Technology in their Teaching","year":2020,"lang":"en","type":"article","venue":"Nordic Journal of Digital Literacy","topic":"Digital literacy in education","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Preparedness; Measure (data warehouse); Psychology; Computer science; Mathematics education; Medical education; Multimedia; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004325784,0.0003229267,0.0004551054,0.0007793023,0.00008050348,0.005475765,0.001907198,0.00008840376,0.00000274345],"category_scores_gemma":[0.002444994,0.0002865561,0.0001369903,0.001355364,0.00003129759,0.02235388,0.0005928127,0.0006116483,0.00004456882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270764,"about_ca_system_score_gemma":0.0002544183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005003296,"about_ca_topic_score_gemma":8.578318e-7,"domain_scores_codex":[0.9971493,0.00007766728,0.001095639,0.0005456557,0.0006315822,0.0005000886],"domain_scores_gemma":[0.9977392,0.0001929162,0.0004049406,0.0005803767,0.0003922766,0.0006902869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005737661,0.0004619952,0.0550427,0.0000128215,0.00003368637,0.00007354754,0.06510399,0.0003226587,0.0006438944,0.002175199,0.0002011748,0.8758709],"study_design_scores_gemma":[0.01420323,0.03080739,0.07913394,0.01093416,0.0001537164,0.007426069,0.07108542,0.01875376,0.01399125,0.09638519,0.6454871,0.0116388],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458882,0.00003057819,0.04588375,0.005794895,0.000401556,0.0002761337,0.00004177945,0.0001131308,0.001569954],"genre_scores_gemma":[0.9797549,3.897947e-7,0.018832,0.001107142,0.0001962077,0.00000931486,0.00001236468,0.00003144273,0.00005620985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8642322,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411829126477139,"score_gpt":0.2904080122934307,"score_spread":0.2562897210286593,"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."}}