{"id":"W750482664","doi":"10.29173/slw6961","title":"An Analysis of Information Literacy Education Worldwide","year":2007,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Government (linguistics); Literacy; School library; Political science; Czech; Critical literacy; Library science; Public relations; Sociology; Pedagogy; Computer science","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":[0.001022572,0.0002060722,0.0002543857,0.01339014,0.001081971,0.003703477,0.0003167822,0.0003236879,0.01784005],"category_scores_gemma":[0.008690664,0.0001136207,0.0002599742,0.02475096,0.000718598,0.004979863,0.002322808,0.0006813665,0.00110584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213562,"about_ca_system_score_gemma":0.001774753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007934112,"about_ca_topic_score_gemma":0.01054944,"domain_scores_codex":[0.9985643,0.0003550878,0.0001189955,0.0001347336,0.0004791014,0.000347732],"domain_scores_gemma":[0.9919661,0.003455082,0.001431089,0.0002838388,0.001883531,0.0009803798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224048,0.0002669302,0.5277123,0.0004843621,0.00008032044,0.0009390595,0.04530179,0.0004883014,0.000743555,0.08165096,0.02045533,0.3217548],"study_design_scores_gemma":[0.000006825286,0.00009381051,0.8091958,0.0003206802,0.00002828131,0.0005807143,0.06340121,0.0005228819,0.0005032989,0.004824303,0.1205006,0.00002162361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7990198,0.002012946,0.0006171335,0.003428331,0.00005056926,0.00004379444,0.001748637,0.00006893499,0.1930099],"genre_scores_gemma":[0.9857665,0.001028791,0.0003034362,0.0001845594,0.00005587823,0.00004941283,0.001212986,0.00004328518,0.01135512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784005,"threshold_uncertainty_score":0.05968094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007353531525910433,"score_gpt":0.2979024677153383,"score_spread":0.2905489361894279,"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."}}