{"id":"W1480207249","doi":"","title":"Dynamic Descriptions: Recent Developments in Standards for Archival Description and Medadata.","year":2000,"lang":"en","type":"article","venue":"Canadian journal of information science","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00270741,0.00007844593,0.0001154379,0.001213532,0.0003424006,0.001233507,0.0009634749,0.00002410458,0.00002499535],"category_scores_gemma":[0.0002782067,0.00006767343,0.00002103721,0.001326973,0.0001969836,0.04148658,0.0000236856,0.00009303449,0.00001436937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004051363,"about_ca_system_score_gemma":0.005889647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396641,"about_ca_topic_score_gemma":0.0003702783,"domain_scores_codex":[0.9982687,0.00002162178,0.0007055982,0.0000909646,0.0005937308,0.0003193461],"domain_scores_gemma":[0.9985941,0.00002446664,0.0002378196,0.0001538105,0.0005592885,0.0004304942],"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":[0.0000195906,0.000008014062,0.002919765,0.00003067567,0.000004441381,0.000003447654,0.02639078,0.001110385,0.000086043,0.02615071,0.002266315,0.9410098],"study_design_scores_gemma":[0.001543676,0.0003103766,0.1208921,0.0002794564,0.000002043932,0.0005423556,0.002959505,0.103243,0.0003525278,0.00591936,0.7635245,0.0004310187],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4861401,0.0001661941,0.4908812,0.002902948,0.001698967,0.0006798969,0.00009170108,0.00002733333,0.01741159],"genre_scores_gemma":[0.9585332,0.0001769294,0.04027307,0.0009342461,0.00001090707,0.000006586015,0.000005558358,0.000001745524,0.00005776769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9405788,"threshold_uncertainty_score":0.9998033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884898764578938,"score_gpt":0.2437834961750188,"score_spread":0.2249345085292295,"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."}}