{"id":"W1971169144","doi":"10.1108/10650750710831547","title":"New possibilities for metadata creation in an institutional repository context","year":2007,"lang":"en","type":"article","venue":"OCLC Systems & Services","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of New Brunswick","funders":"","keywords":"Metadata; Computer science; Data element; Meta Data Services; Information retrieval; Metadata repository; Context (archaeology); World Wide Web; Geospatial metadata; Database catalog; Metadata modeling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01225242,0.0005873898,0.00069173,0.007594573,0.003803289,0.0135913,0.003300546,0.002469211,0.007382146],"category_scores_gemma":[0.02274272,0.0008883338,0.001751785,0.007083961,0.008046574,0.02642375,0.007936639,0.002510402,0.00250779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462737,"about_ca_system_score_gemma":0.00363198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461424,"about_ca_topic_score_gemma":0.004753036,"domain_scores_codex":[0.983555,0.01078502,0.001116912,0.001328572,0.002661609,0.0005529745],"domain_scores_gemma":[0.9737813,0.01123003,0.002223325,0.008990634,0.002842822,0.0009318964],"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":[0.0001432117,0.0001646161,0.009102302,0.0006168219,0.00005633307,0.0009605662,0.009651648,0.003538399,0.003502349,0.6605365,0.008564398,0.3031628],"study_design_scores_gemma":[0.00009854839,0.0001829267,0.004710556,0.001015461,0.00009988889,0.002806436,0.01604758,0.03937082,0.01537615,0.476236,0.4437643,0.000291332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03382313,0.002463582,0.8777012,0.01183846,0.0002988417,0.0004983819,0.0003717173,0.00497904,0.06802559],"genre_scores_gemma":[0.1704998,0.0006579568,0.8211964,0.0003365499,0.0001509541,0.0002012978,0.0004457721,0.0003672558,0.006143951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9864087,"threshold_uncertainty_score":0.06479776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962952164063995,"score_gpt":0.259147283818591,"score_spread":0.239517762177951,"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."}}