{"id":"W4382518502","doi":"10.29085/9781783306305.007","title":"Exchange Formats and Descriptive Standards: MARC and ISBD","year":2023,"lang":"en","type":"other","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Library science; Computer science; World Wide Web; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105433,0.0001454563,0.000176669,0.0002740917,0.00006439527,0.0005144321,0.0003908467,0.00008194552,0.0002541909],"category_scores_gemma":[0.00001082346,0.0001064131,0.00001925422,0.0002592062,0.00006649816,0.002867899,0.0004031169,0.0000629918,0.0001596023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001997674,"about_ca_system_score_gemma":0.00006494972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001401263,"about_ca_topic_score_gemma":0.00007412992,"domain_scores_codex":[0.9990012,0.00001993148,0.0001663156,0.0002337298,0.0003782448,0.000200572],"domain_scores_gemma":[0.9994668,0.0000213537,0.0001052065,0.0002692077,0.00002869743,0.0001086768],"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":[5.220029e-7,0.000001297748,0.00005461347,0.00007237978,0.000005975725,0.000003070211,0.002331475,2.505212e-8,4.500858e-7,0.00791588,0.9681101,0.02150422],"study_design_scores_gemma":[0.0001397702,0.00004196833,0.0001334526,0.0001032383,7.916456e-7,0.00001795689,0.0005637492,0.001220457,0.000009813234,0.0003033557,0.9972914,0.000174075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001628831,0.0006652418,0.04103732,0.000452947,0.0006375351,0.0002859969,0.00006685165,0.0009432446,0.9558946],"genre_scores_gemma":[0.0003649461,0.001474096,0.003875776,0.0009764652,0.0001271824,0.00002210726,0.000003603535,0.000104153,0.9930516],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03716154,"threshold_uncertainty_score":0.4960681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154906674477731,"score_gpt":0.2333375644308185,"score_spread":0.2117884976860412,"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."}}