{"id":"W1589867293","doi":"","title":"Sharing information literacy resources as open educational resources: lessons from DELILA","year":2012,"lang":"en","type":"article","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Open educational resources; Commons; Institution; Best practice; Literacy; Public relations; World Wide Web; Sociology; Library science; Political science; Computer science; Pedagogy; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008696869,0.0003038711,0.0005926606,0.001107994,0.001057487,0.003898687,0.004074573,0.0001602945,0.0003551008],"category_scores_gemma":[0.004790851,0.0002844691,0.00009974428,0.001084827,0.003470575,0.01127785,0.0038568,0.000783745,0.0001633409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007394608,"about_ca_system_score_gemma":0.003830109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040328,"about_ca_topic_score_gemma":0.0001137239,"domain_scores_codex":[0.9942942,0.0001718073,0.001287189,0.0009814057,0.0005023017,0.002763159],"domain_scores_gemma":[0.991261,0.001295386,0.0003718033,0.0008918376,0.0008704228,0.005309565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003115675,0.0001747502,0.02821355,0.00001909796,0.00001080051,1.851866e-7,0.0005526487,0.00004773872,0.0001439566,0.9685436,0.00005864528,0.002203821],"study_design_scores_gemma":[0.001687855,0.0006194269,0.4734778,0.0002215775,0.00002725849,0.00006390856,0.007062238,0.0515368,0.002343025,0.408032,0.05390233,0.001025757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456937,0.000184186,0.00004338068,0.02200867,0.0003203644,0.0003825724,0.0001075284,0.00001408504,0.0312455],"genre_scores_gemma":[0.9893737,0.0006073957,0.007973609,0.001263726,0.0004451051,0.0000209843,0.00002141093,0.00001328837,0.0002807368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5605116,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05896773527633339,"score_gpt":0.3967178764063991,"score_spread":0.3377501411300657,"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."}}