{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001634225,0.0008548879,0.0004967438,0.003285752,0.001183654,0.004113098,0.001819473,0.001114713,0.04172591],"category_scores_gemma":[0.0054195,0.0005317975,0.0009046239,0.003236522,0.0007065261,0.006682149,0.004572846,0.001652167,0.016026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632552,"about_ca_system_score_gemma":0.001151021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235851,"about_ca_topic_score_gemma":0.00143227,"domain_scores_codex":[0.9986066,0.0002293639,0.0001030569,0.00021837,0.0007448122,0.00009767779],"domain_scores_gemma":[0.9978881,0.0004387438,0.00005295701,0.001057236,0.0004925412,0.00007048975],"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":[0.0001695818,0.0001851232,0.0006099264,0.0003995233,0.00003523443,0.0003533691,0.0006645581,0.002589315,0.0111005,0.2384066,0.08692891,0.6585573],"study_design_scores_gemma":[0.00004362155,0.00005561569,0.0005716551,0.0003895454,0.00007521817,0.0007262509,0.0004773715,0.03774372,0.05444618,0.2139208,0.6914729,0.00007710715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007884281,0.001360365,0.8237888,0.001203623,0.00119814,0.0004220798,0.003911619,0.02000098,0.1402301],"genre_scores_gemma":[0.1836711,0.003297417,0.551855,0.0009705386,0.0004439642,0.0006670262,0.02964196,0.007399837,0.2220532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04172591,"threshold_uncertainty_score":0.139587,"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."}}