{"id":"W3145712336","doi":"10.29173/iasl8174","title":"Information Literacy: Learning to Use Sources of Information","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Variety (cybernetics); Mathematics education; School library; Computer science; Literacy; Psychology; Library science; Pedagogy; Artificial intelligence","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":[0.0009317571,0.0003187964,0.0001900464,0.0009183825,0.0005961905,0.002360322,0.0005076049,0.0005642674,0.005582762],"category_scores_gemma":[0.003421635,0.000198654,0.000189862,0.0005781193,0.00144075,0.002614339,0.001538,0.000988643,0.001150573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009215662,"about_ca_system_score_gemma":0.002685107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179168,"about_ca_topic_score_gemma":0.004386008,"domain_scores_codex":[0.9995296,0.0001540421,0.00002635428,0.00006130324,0.0001434906,0.00008528329],"domain_scores_gemma":[0.9980415,0.001043583,0.0002377059,0.0001133505,0.0002219291,0.0003419379],"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":[0.00007790619,0.002060996,0.03404298,0.001290931,0.00001349846,0.0004167587,0.05103978,0.0002644117,0.01039782,0.03602609,0.0302844,0.8340845],"study_design_scores_gemma":[0.0001221515,0.002528304,0.3148924,0.003860927,0.00008483802,0.002231777,0.07420765,0.002106554,0.02743174,0.09397434,0.4784452,0.0001141053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731912,0.002635999,0.03354215,0.008290951,0.0001629526,0.001074551,0.0004445288,0.00107799,0.3795798],"genre_scores_gemma":[0.9051096,0.004133584,0.04860229,0.0009060383,0.00006861966,0.000906824,0.0004414802,0.00008882593,0.03974268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005582762,"threshold_uncertainty_score":0.01867616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168462624787718,"score_gpt":0.2728133531794543,"score_spread":0.2559670907006825,"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."}}