{"id":"W35038405","doi":"10.1007/978-3-319-07440-5_10","title":"Accessible Metadata Generation","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Metadata; Computer science; Personalization; Suite; World Wide Web; Process (computing); Matching (statistics); Geospatial metadata; Point (geometry); Metadata repository; Information retrieval; Meta Data Services","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001982129,0.0003289533,0.0004169852,0.0003828402,0.0005571644,0.002230382,0.002279174,0.0002997928,0.0001889652],"category_scores_gemma":[0.0006574007,0.0003021024,0.0001263553,0.0003936513,0.002757905,0.00206918,0.0006320605,0.0003917554,0.00007360415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612204,"about_ca_system_score_gemma":0.0008760066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004696725,"about_ca_topic_score_gemma":0.007805727,"domain_scores_codex":[0.9964833,0.00006409797,0.0004565632,0.001119699,0.001299979,0.0005763965],"domain_scores_gemma":[0.9980128,0.0004270374,0.0002215152,0.0009066276,0.0002552275,0.0001767741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003681521,0.00002682021,0.0003517836,0.00004146445,0.00001002004,0.000004522443,0.001974975,0.002001452,0.0000299186,0.2186176,0.0001477141,0.77679],"study_design_scores_gemma":[0.0002096965,0.0001127088,0.0001448653,0.0002471845,0.00002819445,0.000003373078,0.000004364387,0.01767522,0.0007580199,0.9011854,0.0785168,0.001114183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008768098,0.0002650305,0.84275,0.001049214,0.002036473,0.0004536151,0.00001865336,0.0001451657,0.1524051],"genre_scores_gemma":[0.9355205,0.0000740699,0.03822286,0.001865988,0.003682072,0.00002020806,0.00006086152,0.00006096297,0.02049247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9346437,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05360842708171434,"score_gpt":0.31810502796664,"score_spread":0.2644966008849257,"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."}}