{"id":"W2150741050","doi":"10.1016/j.iilr.2012.01.004","title":"Traditional knowledge management and preservation: Intersections with Library and Information Science","year":2012,"lang":"en","type":"article","venue":"The International Information & Library Review","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Custodians; Traditional knowledge; Cultural knowledge; Information science; Sociology; Intersection (aeronautics); Order (exchange); Knowledge organization; Knowledge management; Library science; Public relations; Political science; Business; Computer science; History; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002227385,0.000114241,0.00009668621,0.00004382834,0.0004245482,0.0003955263,0.0003087104,0.00002836696,0.0003802893],"category_scores_gemma":[0.000008600401,0.00003778072,0.00002854331,0.0005025205,0.0001054206,0.04067544,0.0001813583,0.00009684435,0.00007162832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201857,"about_ca_system_score_gemma":0.00001709048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002913454,"about_ca_topic_score_gemma":0.000001391811,"domain_scores_codex":[0.9991815,0.00002957052,0.0002993075,0.00007455175,0.0002539554,0.0001610812],"domain_scores_gemma":[0.9995852,0.00005822273,0.0001570117,0.0000502816,0.00005795957,0.00009131344],"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":[0.00004773827,0.0001151546,0.01174908,0.0008726,0.00009931735,3.093684e-7,0.003342217,0.000002183298,0.00009607628,0.8062208,0.04462907,0.1328254],"study_design_scores_gemma":[0.00008272746,0.00003879718,0.1249784,0.000450174,0.00001497258,0.00007661016,0.0006209377,0.00005326381,0.00005834457,0.0001305348,0.8733866,0.0001086516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2128236,0.01934561,0.00004749792,0.03318573,0.001023283,0.002342567,0.0002818705,0.0003473733,0.7306024],"genre_scores_gemma":[0.9640125,0.02397051,0.0004209242,0.007211678,0.0007407477,0.0002193929,0.001309621,0.000002072122,0.002112573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8287575,"threshold_uncertainty_score":0.9727421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872165772553004,"score_gpt":0.1961223669062707,"score_spread":0.1774007091807407,"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."}}