{"id":"W1554885326","doi":"","title":"Proven Strategies for Building an Information Literacy Program","year":2008,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Context (archaeology); Reading (process); Curriculum; Library science; Literacy; Subject (documents); Work (physics); Sociology; Computer science; Pedagogy; Political science; History; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003319787,0.00007132024,0.00009159209,0.0005249716,0.002930022,0.00409349,0.0003385435,0.00008011766,0.00004668332],"category_scores_gemma":[0.001044946,0.00004870191,0.00003101836,0.0005853766,0.0006576412,0.4244341,0.00002399936,0.0003624556,0.000006893255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001940681,"about_ca_system_score_gemma":0.003960365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005823097,"about_ca_topic_score_gemma":0.00003832128,"domain_scores_codex":[0.9982805,0.000389448,0.0004624982,0.00004633483,0.0004691649,0.0003520563],"domain_scores_gemma":[0.9978583,0.0006645331,0.0003217782,0.00009668986,0.0005188714,0.0005397762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001075908,0.00001091132,0.0006260909,0.00004466158,0.00001180325,0.000002062544,0.1567041,0.00002248572,6.907558e-7,0.7762648,0.007186833,0.059018],"study_design_scores_gemma":[0.0002148884,0.0003102699,0.001177666,0.00002521114,0.000004367259,0.00007382801,0.05774017,0.0005793441,0.0000160672,0.004447934,0.9353417,0.00006853612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4166382,0.00113264,0.0006875269,0.2785416,0.0006201697,0.003110994,0.00004561336,0.00009638753,0.2991269],"genre_scores_gemma":[0.9859413,0.0009145698,0.004158022,0.008227147,0.0003448858,0.00003264777,0.00003234547,0.000004119465,0.0003449426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9281549,"threshold_uncertainty_score":0.998368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049548807318111,"score_gpt":0.4194152974992192,"score_spread":0.3289198094260382,"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."}}