{"id":"W4225754821","doi":"10.1007/978-3-030-99885-1_40","title":"Assessing Media and Information Literacy: Teenagers’ Practices and Competence in Information Search and Multimedia Creation","year":2022,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Competence (human resources); Information literacy; Media literacy; Computer science; Multimedia; World Wide Web; Literacy; Psychology; Pedagogy; Social psychology","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003030051,0.0001785169,0.0002118961,0.00182923,0.001282921,0.001620482,0.0006215596,0.0001991021,0.00002354365],"category_scores_gemma":[0.0006404785,0.000196202,0.00001372788,0.0005716749,0.001926795,0.04810474,0.0009287653,0.0006750305,0.000007522675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291213,"about_ca_system_score_gemma":0.000479616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008028269,"about_ca_topic_score_gemma":0.0002451648,"domain_scores_codex":[0.9981639,0.0001316618,0.0007188923,0.0001835911,0.000558327,0.0002436415],"domain_scores_gemma":[0.9976368,0.0007532961,0.000614222,0.0004879149,0.0003952263,0.0001125383],"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":[0.000005903185,0.00001556853,0.003872944,0.00007679085,0.000004745078,1.680853e-7,0.1514193,0.00004185649,0.000001849753,0.2411965,0.00002619528,0.6033382],"study_design_scores_gemma":[0.001594569,0.0001281805,0.2519699,0.0005996634,0.00004638957,0.00006853399,0.04575724,0.2156012,0.000007902304,0.01566391,0.4674916,0.001070913],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1771221,0.004703227,0.02011695,0.03889742,0.002219296,0.005886347,0.0002006088,0.0005701549,0.7502839],"genre_scores_gemma":[0.9466293,0.02162753,0.03049809,0.0006848191,0.00003428979,0.00006634647,0.0003882854,0.000006146222,0.00006515605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7695072,"threshold_uncertainty_score":0.9994159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07280668638688935,"score_gpt":0.3983541777892038,"score_spread":0.3255474914023144,"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."}}