{"id":"W67683022","doi":"10.11575/prism/29074","title":"Developing a Canadian Metadata Profile for Institutional Repositories","year":2004,"lang":"en","type":"article","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Metadata; Library science; Presentation (obstetrics); World Wide Web; Political science; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01891012,0.0008151854,0.000735712,0.02526638,0.01169699,0.010141,0.002755144,0.001500636,0.003453727],"category_scores_gemma":[0.03023769,0.0008714205,0.00103007,0.01913286,0.001757961,0.01117938,0.004554533,0.002149765,0.002693794],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04291575,"about_ca_system_score_gemma":0.1123174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8068522,"about_ca_topic_score_gemma":0.8657713,"domain_scores_codex":[0.9888464,0.001327547,0.001951634,0.0006954984,0.005959105,0.001219988],"domain_scores_gemma":[0.9516544,0.001969119,0.001961145,0.002954254,0.03925302,0.002208102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002013792,0.0002367594,0.0442816,0.0008500596,0.00004969538,0.0007838498,0.01478952,0.008137358,0.01428018,0.2299398,0.1659321,0.5205176],"study_design_scores_gemma":[0.00002800988,0.00007548544,0.01888504,0.001358077,0.00008139776,0.0004676418,0.01270624,0.01754032,0.01384553,0.0172383,0.9174703,0.0003035196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07741641,0.00142001,0.6935532,0.02814148,0.00076645,0.007387962,0.02903393,0.01273489,0.1495457],"genre_scores_gemma":[0.1276822,0.001772342,0.8080688,0.001306792,0.0000981325,0.001790892,0.02987212,0.001211034,0.02819775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.989859,"threshold_uncertainty_score":0.3885706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09650269989795446,"score_gpt":0.3257020756114392,"score_spread":0.2291993757134847,"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."}}