{"id":"W4380995842","doi":"10.18438/eblip30376","title":"Evidence Summary Theme: Professional Issues","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Theme (computing); Data science; Computer science; Engineering ethics; Library science; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1731758,0.002242382,0.005826149,0.01849305,0.00490568,0.01990362,0.005608228,0.02755499,0.02889272],"category_scores_gemma":[0.4927155,0.001980855,0.006292341,0.01505027,0.006952248,0.01777951,0.01368223,0.02093765,0.009585045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01538928,"about_ca_system_score_gemma":0.03996242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254476,"about_ca_topic_score_gemma":0.002736581,"domain_scores_codex":[0.7972254,0.06971893,0.06903154,0.008388524,0.05167842,0.003957255],"domain_scores_gemma":[0.535514,0.2861916,0.0423895,0.01376481,0.114186,0.007954161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003087164,0.00008977667,0.0008869271,0.1666303,0.0006030716,0.0002578706,0.003323082,0.0001578755,0.000545436,0.02843379,0.5639371,0.234826],"study_design_scores_gemma":[0.0001792522,0.0001106877,0.0008019174,0.2280243,0.0006026865,0.0003520455,0.00235022,0.0001303048,0.0003500028,0.01639922,0.7506421,0.00005721987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007916415,0.1679757,0.005863774,0.6014861,0.2026165,0.00565521,0.002696772,0.0001666932,0.01274762],"genre_scores_gemma":[0.02106911,0.2219844,0.03455995,0.562957,0.107334,0.03147648,0.003789822,0.0004619961,0.01636736],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1731758,"threshold_uncertainty_score":0.9158523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774941963872604,"score_gpt":0.478269690088152,"score_spread":0.3007754937008916,"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."}}