{"id":"W2104492927","doi":"10.11645/5.2.1606","title":"Tailoring information literacy instruction and library services for continuing education","year":2011,"lang":"en","type":"article","venue":"Journal of Information Literacy","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information literacy; Outreach; Curriculum; Library instruction; Context (archaeology); Literacy; Medical education; Andragogy; Pedagogy; Computer science; Sociology; Adult education; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007759034,0.0001303324,0.0001773937,0.0007831703,0.0003744513,0.001650867,0.0003194055,0.00009493495,0.0001627858],"category_scores_gemma":[0.0001850976,0.0001158283,0.00009306692,0.00048182,0.00007609499,0.3115312,0.00004411479,0.0001560753,0.00002773299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004366564,"about_ca_system_score_gemma":0.0002976209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004280694,"about_ca_topic_score_gemma":2.874898e-7,"domain_scores_codex":[0.9980061,0.00006086209,0.001260835,0.00005615665,0.0003893891,0.0002266628],"domain_scores_gemma":[0.9971478,0.00009376841,0.001550949,0.0001136758,0.0008957708,0.0001980598],"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":[0.0001110647,0.00001996184,0.00521727,0.0001560308,0.000009308632,1.032554e-7,0.285307,0.00000460237,0.000003849422,0.0444781,0.0008746801,0.663818],"study_design_scores_gemma":[0.0007672238,0.0001346049,0.01395814,0.0003694633,0.00001572816,0.00003202208,0.03214005,0.0006990247,0.0002195887,0.004833901,0.9466456,0.0001846274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459088,0.0002416945,0.006748487,0.001544266,0.002953643,0.0007181383,0.0000349337,0.0001127339,0.04173735],"genre_scores_gemma":[0.941624,0.0004886115,0.05084488,0.005707833,0.0007891557,0.00002565035,0.000142632,0.000008912659,0.0003683166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9457709,"threshold_uncertainty_score":0.9993855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009144154831289896,"score_gpt":0.2605175506608441,"score_spread":0.2513733958295542,"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."}}