{"id":"W2981115687","doi":"10.1002/pra2.98","title":"Information science education and library and information studies education: Transnational conversations","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information science; Public relations; Information quality; Information professional; Table (database); Political science; Information system; Library science; Knowledge management; Sociology; Medical education; Computer science; Medicine","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002031934,0.0001104488,0.0001487641,0.001722139,0.001443564,0.0009729884,0.000515919,0.000126079,0.000008701113],"category_scores_gemma":[0.002329269,0.00009265204,0.00002362838,0.004029642,0.001486386,0.2160015,0.0001936227,0.0001183376,0.000008482905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894376,"about_ca_system_score_gemma":0.002908108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006886139,"about_ca_topic_score_gemma":3.747446e-7,"domain_scores_codex":[0.9980577,0.000007174635,0.0005670509,0.0001177419,0.0009767031,0.0002736777],"domain_scores_gemma":[0.9955089,0.0001107074,0.0008994332,0.00009744404,0.003286719,0.00009677442],"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":[0.000005057769,0.000009324393,0.028429,0.00008026166,0.000004899529,1.864184e-10,0.01324123,7.931647e-7,0.0001011423,0.9381948,0.0005699406,0.01936354],"study_design_scores_gemma":[0.0005705625,0.0000860147,0.05063382,0.00007223336,0.0000226993,0.000004795838,0.11931,0.00059181,0.002838056,0.03073146,0.7948978,0.0002407453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359861,0.00009732659,0.00002067548,0.0780466,0.001169982,0.001809119,0.00004144079,0.0001584063,0.08267036],"genre_scores_gemma":[0.9947337,0.0003672218,0.001151124,0.003186535,0.00002873368,0.000082062,0.00001645607,0.000002225015,0.0004319332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9074634,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006631753023356383,"score_gpt":0.2658942388465836,"score_spread":0.2592624858232273,"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."}}