{"id":"W2015077654","doi":"10.1108/00907320911006994","title":"An information literacy program built for relevance and purpose","year":2009,"lang":"en","type":"article","venue":"Reference Services Review","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information literacy; Relevance (law); Originality; Computer science; Population; Literacy; Information science; Library science; Knowledge management; Mathematics education; Sociology; Pedagogy; Psychology; Political science; Qualitative research; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003438784,0.0002422409,0.0003366354,0.001827268,0.001422844,0.001145856,0.00144912,0.0006958082,0.006338459],"category_scores_gemma":[0.0125122,0.0001942565,0.0003920575,0.001170924,0.0004769492,0.001544905,0.002739438,0.0009892484,0.0009615087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632021,"about_ca_system_score_gemma":0.01155221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083154,"about_ca_topic_score_gemma":0.008321526,"domain_scores_codex":[0.9977412,0.001226977,0.0001173914,0.0001764413,0.0005377019,0.0002002346],"domain_scores_gemma":[0.9943851,0.001840678,0.0005283811,0.0005061856,0.001353974,0.001385663],"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":[0.0004855611,0.009397612,0.01495203,0.002480869,0.00004045426,0.000486004,0.004855655,0.0005068848,0.005402553,0.004304599,0.01596499,0.9411228],"study_design_scores_gemma":[0.004059508,0.04802986,0.2914595,0.006002913,0.0009375871,0.003272919,0.009581614,0.003501127,0.03453692,0.006933128,0.5914267,0.0002582252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499394,0.004481181,0.07369126,0.01004631,0.001071608,0.03044261,0.0007069041,0.004346011,0.1252747],"genre_scores_gemma":[0.7405587,0.003061365,0.1993597,0.004956636,0.0003500152,0.01441976,0.0009050577,0.0001809516,0.03620781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006338459,"threshold_uncertainty_score":0.02120423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212596230120727,"score_gpt":0.3867751638301707,"score_spread":0.3646492015289634,"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."}}