{"id":"W6920988719","doi":"10.6084/m9.figshare.26678141","title":"Additional file 1 of Navigating the digital world: development of an evidence-based digital literacy program and assessment tool for youth","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University; Lawson Health Research Institute; University of Waterloo","funders":"","keywords":"Digital literacy; Literacy; Measure (data warehouse); Computer literacy; Information literacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002833362,0.0008273098,0.001295148,0.002314915,0.001352472,0.001461931,0.001598879,0.00135114,0.8739067],"category_scores_gemma":[0.04949929,0.0005655363,0.001067251,0.003638181,0.0002703629,0.002548314,0.001258946,0.001181668,0.1193601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648466,"about_ca_system_score_gemma":0.003618007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385036,"about_ca_topic_score_gemma":0.02323813,"domain_scores_codex":[0.9988697,0.0002935021,0.0003086716,0.0001527553,0.0002412634,0.0001341583],"domain_scores_gemma":[0.9709911,0.02022268,0.002209131,0.0008190284,0.004992174,0.0007658894],"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":[0.0004211348,0.000150446,0.002187668,0.004312778,0.0000262257,0.00004487867,0.0001226229,0.0001729916,0.00002209059,0.0007794052,0.9769676,0.01479216],"study_design_scores_gemma":[0.01750218,0.0009576112,0.06843136,0.02029318,0.0004616132,0.000698061,0.002306548,0.001899962,0.0008150637,0.01542113,0.8709166,0.0002965755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003659525,0.00003419245,0.0002562976,0.0003391662,0.00003516655,0.0009549354,0.9953263,0.0000995346,0.002588437],"genre_scores_gemma":[0.02462861,0.0007956501,0.009877272,0.002388322,0.0003100555,0.05064305,0.8795323,0.0006072002,0.03121758],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8739067,"threshold_uncertainty_score":0.1798567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0800499948446057,"score_gpt":0.3598281163585753,"score_spread":0.2797781215139696,"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."}}