{"id":"W3174627686","doi":"10.18438/eblip29873","title":"Digital Literacy Skills for Family History Research","year":2021,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archivist; Outreach; Information literacy; Set (abstract data type); Family literacy; Class (philosophy); Literacy; Point (geometry); Digital literacy; Pedagogy; Mathematics education; Medical education; Psychology; Library science; Computer science; Political science; Medicine","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":[0.00920359,0.0001994954,0.0001596937,0.001683916,0.003382018,0.004047956,0.0007597292,0.001041243,0.01346706],"category_scores_gemma":[0.03123071,0.0001821343,0.0003123441,0.001202972,0.004912529,0.003771332,0.006199467,0.001630852,0.001163761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187744,"about_ca_system_score_gemma":0.00876094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503762,"about_ca_topic_score_gemma":0.003156121,"domain_scores_codex":[0.9934622,0.005113833,0.0002898899,0.0002525312,0.0005580265,0.0003234418],"domain_scores_gemma":[0.9602463,0.03209912,0.001931719,0.001875385,0.001412415,0.002435057],"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":[0.00005393661,0.0005688944,0.05435264,0.001873191,0.00002293007,0.005714575,0.2717443,0.0001467379,0.001193725,0.04546827,0.02145414,0.5974067],"study_design_scores_gemma":[0.00006053822,0.00038498,0.05133373,0.005971598,0.00005954086,0.01136804,0.2522834,0.0003347735,0.002420683,0.07106921,0.6046582,0.0000553693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.443544,0.01693686,0.02926036,0.1181356,0.001016328,0.001000957,0.0003727636,0.0003269116,0.3894062],"genre_scores_gemma":[0.9321918,0.00660361,0.03995581,0.006315753,0.0002633655,0.0008708809,0.0001326912,0.00003734676,0.01362873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346706,"threshold_uncertainty_score":0.04867381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848896999269319,"score_gpt":0.2742629933517443,"score_spread":0.2257740233590511,"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."}}