{"id":"W4390418165","doi":"10.17723/2327-9702-86.2.664","title":"Born-Digital Design Records","year":2023,"lang":"en","type":"article","venue":"The American Archivist","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archivist; Resource (disambiguation); Computer science; Scholarship; Architecture; Digital scholarship; World Wide Web; Library science; History; Law; Political science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003168446,0.0006183836,0.0004190842,0.003298172,0.006382119,0.01523631,0.001520511,0.002399474,0.07317193],"category_scores_gemma":[0.01074938,0.0006715018,0.0004634316,0.005056106,0.004098785,0.01767473,0.008771075,0.004040827,0.02906445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003475387,"about_ca_system_score_gemma":0.006790395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007126529,"about_ca_topic_score_gemma":0.0224292,"domain_scores_codex":[0.9965394,0.001147344,0.000358925,0.0003405498,0.001403745,0.0002101837],"domain_scores_gemma":[0.9958178,0.00142024,0.000335612,0.0009569322,0.0009333013,0.0005360879],"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":[0.00001482037,0.00001329747,0.00032042,0.0002343097,0.000004108295,0.00008564297,0.008626728,0.00005303654,0.0001535086,0.0997249,0.734495,0.1562743],"study_design_scores_gemma":[4.074662e-7,0.0000013103,0.00005974072,0.0000831354,4.413944e-7,0.00003899523,0.0007441717,0.00000405099,0.00002428502,0.001442928,0.9975984,0.000002225158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003565752,0.03844723,0.01578093,0.04368619,0.0143603,0.0002023266,0.002163411,0.001892398,0.8799015],"genre_scores_gemma":[0.02618083,0.02983738,0.02006368,0.01662785,0.002782594,0.000315601,0.003518202,0.002627349,0.8980466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07317193,"threshold_uncertainty_score":0.2447845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528651165381517,"score_gpt":0.2372070427189796,"score_spread":0.2019205310651645,"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."}}