{"id":"W2169806861","doi":"10.1002/meet.14504901097","title":"Learning to discover: Youth information literacy in the “i” digital age","year":2012,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information behavior; Information seeking; Information literacy; Computer science; Information seeking behavior; Process (computing); World Wide Web; Digital literacy; Distraction; Population; Information Age; Data science; Internet privacy; Multimedia; Human–computer interaction; Psychology; Information retrieval; Cognitive psychology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001582168,0.0001369153,0.0003345285,0.001113062,0.00225317,0.004502629,0.000340393,0.0008506423,0.002894618],"category_scores_gemma":[0.004098787,0.0002257863,0.0003138405,0.0008098851,0.001566767,0.002987397,0.002527404,0.001436362,0.0003884273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011847,"about_ca_system_score_gemma":0.001623449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312923,"about_ca_topic_score_gemma":0.01916326,"domain_scores_codex":[0.9994204,0.0001416098,0.00003421858,0.00005309597,0.00009815807,0.0002525189],"domain_scores_gemma":[0.998301,0.0004206398,0.0003452558,0.00004560288,0.0002623736,0.0006251787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006822958,0.0006175541,0.5039314,0.0001715339,0.00001169447,0.001351184,0.4210057,0.00004284202,0.0009928771,0.007658273,0.004259346,0.05988949],"study_design_scores_gemma":[0.00001586874,0.0003510992,0.3286434,0.000350847,0.00005647345,0.001437692,0.6333148,0.0004156814,0.001328673,0.004040197,0.03001108,0.00003417545],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920317,0.0003553182,0.00008087765,0.001453338,0.00001660962,0.00001279526,0.00005157893,0.00001067942,0.005987244],"genre_scores_gemma":[0.9982855,0.0003871202,0.00007355589,0.0002134227,0.000007306115,0.00001157587,0.0000288265,0.000003052924,0.000989747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312923,"threshold_uncertainty_score":0.02610564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104174534167472,"score_gpt":0.2763326031840802,"score_spread":0.265915149767333,"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."}}