{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00007454058,0.0001579949,0.0002243758,0.0001572708,0.000264962,0.009889328,0.0007122973,0.00006882906,0.00002609567],"category_scores_gemma":[0.00003718746,0.0001246124,0.00006714179,0.001852755,0.00006418788,0.133374,0.0005827577,0.0001132169,0.00009790764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001542317,"about_ca_system_score_gemma":0.0001982099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006656355,"about_ca_topic_score_gemma":4.273178e-7,"domain_scores_codex":[0.9986165,0.00001253875,0.0004141308,0.0003735013,0.0003533976,0.0002299693],"domain_scores_gemma":[0.9992335,0.00009624499,0.0001230494,0.0002709952,0.00002470813,0.0002514754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001305582,0.0001294796,0.3439942,0.000182222,0.0003692879,0.00003942913,0.01701177,0.00008986308,0.0001018737,0.06899843,0.5026017,0.06635112],"study_design_scores_gemma":[0.003393859,0.002495134,0.07969111,0.00008721046,0.00002356112,0.0002580777,0.005585224,0.2521521,0.003421061,0.007408479,0.6432755,0.002208688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426426,0.00008274174,0.7079884,0.01253992,0.0005188689,0.0006755327,0.0001657295,0.001131211,0.1342549],"genre_scores_gemma":[0.9869348,0.00001393569,0.00141835,0.001619662,0.0002150439,0.00000795984,0.0001033328,0.000007550469,0.009679334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442922,"threshold_uncertainty_score":0.9911385,"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."}}