{"id":"W1972804538","doi":"10.1108/02640471111141124","title":"Metadata assessment in e‐theses and dissertations of Canadian institutional repositories","year":2011,"lang":"en","type":"article","venue":"The Electronic Library","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Computer science; Library science; Data element; World Wide Web; Element (criminal law); Information retrieval; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03908132,0.0004682089,0.001010214,0.06405429,0.01118013,0.01644585,0.003691494,0.0009426008,0.007038466],"category_scores_gemma":[0.1725255,0.0005376932,0.0007364075,0.107562,0.004305115,0.005603539,0.008127261,0.001016659,0.001338796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07048251,"about_ca_system_score_gemma":0.1313897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8903625,"about_ca_topic_score_gemma":0.9322137,"domain_scores_codex":[0.9486389,0.006471694,0.005023928,0.002133287,0.03499546,0.002736661],"domain_scores_gemma":[0.7905629,0.02498069,0.02255831,0.0116028,0.1437128,0.006582352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005218619,0.0001792996,0.4527692,0.002700735,0.000188493,0.0004636383,0.05145981,0.001368616,0.003801879,0.04326485,0.03716164,0.40612],"study_design_scores_gemma":[0.00004294978,0.00009682067,0.6005608,0.002511029,0.0002345129,0.0004096255,0.06614811,0.00199226,0.008930144,0.004558836,0.3142156,0.0002994186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7860297,0.01004771,0.008555533,0.01201869,0.0004384922,0.001871336,0.04105975,0.000642776,0.139336],"genre_scores_gemma":[0.9187696,0.005786254,0.02338787,0.0007192671,0.0001325799,0.000583808,0.02297956,0.0002145231,0.02742654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9835541,"threshold_uncertainty_score":0.5113888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4750425197805155,"score_gpt":0.4923809298565076,"score_spread":0.01733841007599213,"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."}}