{"id":"W2998379281","doi":"","title":"Analog/Digital Lp Collection: Linked Metadata between a Library Discovery and Digital Collection Platform","year":2020,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Digital library; Computer science; Digital collections; World Wide Web; Data collection; Mathematics","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":[0.003042545,0.0007838106,0.0005206051,0.01319509,0.002648154,0.01103186,0.001816279,0.001295349,0.02789513],"category_scores_gemma":[0.009143056,0.0007738302,0.0008094273,0.01394926,0.001495971,0.01421749,0.009283797,0.001736957,0.01759385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002513016,"about_ca_system_score_gemma":0.005535107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432318,"about_ca_topic_score_gemma":0.01483573,"domain_scores_codex":[0.9971375,0.0003968705,0.0004014112,0.0004138486,0.001383142,0.0002671653],"domain_scores_gemma":[0.9938267,0.001095315,0.0005393363,0.002441853,0.001359384,0.0007375124],"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":[0.001160803,0.0007194046,0.02430195,0.001816663,0.000202926,0.001939955,0.005778539,0.002495563,0.02941841,0.2009453,0.2306853,0.5005351],"study_design_scores_gemma":[0.00008205736,0.0001367316,0.009449038,0.0004144113,0.0001899827,0.0008269298,0.002252495,0.007922733,0.0348049,0.03140645,0.9122987,0.000215586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0535798,0.001222892,0.5111044,0.003514508,0.001662815,0.001988168,0.1120697,0.08827043,0.2265872],"genre_scores_gemma":[0.3386315,0.002346575,0.3476256,0.002119867,0.001341101,0.001383611,0.149326,0.01162401,0.1456017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02789513,"threshold_uncertainty_score":0.09331846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461921218615278,"score_gpt":0.2083070901745536,"score_spread":0.1736878779884009,"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."}}