{"id":"W1816351196","doi":"10.21083/partnership.v4i1.938","title":"Serving Diverse Knowledge Systems in Academia","year":2009,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Web and Library Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Digital transformation; Knowledge management; Transformation (genetics); Digital library; Scholarly communication; Engineering ethics; Computer science; Data science; Sociology; World Wide Web; Political science; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02746492,0.0006328159,0.001665376,0.007462119,0.03696477,0.04761134,0.00431048,0.007595773,0.007089],"category_scores_gemma":[0.02555398,0.0009500305,0.0007400862,0.008372452,0.02260833,0.03145842,0.04902036,0.004559077,0.00243461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02356776,"about_ca_system_score_gemma":0.04650826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423564,"about_ca_topic_score_gemma":0.03634216,"domain_scores_codex":[0.9620563,0.02133063,0.001792172,0.00266497,0.006737662,0.005418119],"domain_scores_gemma":[0.9695156,0.01050609,0.001275595,0.002694109,0.004537627,0.01147097],"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":[0.0001522909,0.0002856496,0.01296258,0.0006682969,0.0001011445,0.002498006,0.2679996,0.002305502,0.001101797,0.4828637,0.02136181,0.2076997],"study_design_scores_gemma":[0.00006579433,0.0001273484,0.003273773,0.000829201,0.00006366019,0.001129379,0.2339896,0.002447404,0.0007142892,0.4322605,0.3249705,0.000128624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3048375,0.03825732,0.04340661,0.1989198,0.001436297,0.0003175385,0.0001514647,0.0009628964,0.4117105],"genre_scores_gemma":[0.953909,0.006879753,0.01151887,0.008359925,0.0006326678,0.0001566317,0.00009619553,0.0001019699,0.01834489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04761134,"threshold_uncertainty_score":0.1709968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05931321515430095,"score_gpt":0.3336364541930146,"score_spread":0.2743232390387136,"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."}}