{"id":"W3099924134","doi":"10.29173/cais1175","title":"Digital Archiving by Nigerian and Foreign Authors in a Low Resource Context: A Content Analysis of Publications on Natural Language Processing of Nigerian Languages","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scopus; Digital library; Web of science; Library science; Context (archaeology); Foreign language; Humanities; Computer science; World Wide Web; Political science; Geography; Art; Philosophy; Linguistics; MEDLINE","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007823269,0.0002058387,0.0004526592,0.02110601,0.001771808,0.005869018,0.0003462153,0.0004234008,0.001757507],"category_scores_gemma":[0.03910145,0.0001679755,0.000273592,0.03023821,0.001673352,0.004085343,0.001899801,0.0003759782,0.0004197299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160507,"about_ca_system_score_gemma":0.004186301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379285,"about_ca_topic_score_gemma":0.004015219,"domain_scores_codex":[0.9951866,0.001590228,0.001205506,0.0005038497,0.001305109,0.0002087743],"domain_scores_gemma":[0.9229796,0.0517184,0.01272332,0.003015519,0.008711235,0.0008519874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004026967,0.0001094935,0.3097568,0.009467548,0.000138572,0.003738422,0.1967516,0.0002683784,0.007265916,0.008969103,0.006615373,0.4565161],"study_design_scores_gemma":[0.00002191511,0.0001584756,0.4176222,0.01161902,0.0003398002,0.004704264,0.326349,0.0007670101,0.007383085,0.004552878,0.2263672,0.0001150688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528385,0.02183926,0.002211716,0.002663202,0.0003203185,0.0001655747,0.002807113,0.00004177786,0.01711243],"genre_scores_gemma":[0.9565065,0.02745468,0.007539036,0.0005598029,0.0002540952,0.0002701084,0.002070745,0.00007796189,0.005267075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.978894,"threshold_uncertainty_score":0.04137391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491774965506028,"score_gpt":0.2876503113550389,"score_spread":0.2627325616999787,"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."}}