{"id":"W1495834745","doi":"10.3233/wdl-120061","title":"Project Naming: what makes it a “good digital collection”?","year":2010,"lang":"en","type":"article","venue":"World Digital Libraries - An international journal","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Library science; Government (linguistics); National archives; Syllabus; History; Sociology; Visual arts; Political science; World Wide Web; Computer science; Law; Art","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":[0.1048877,0.001188758,0.001097546,0.005956445,0.03033687,0.05339449,0.007802506,0.00620639,0.01302522],"category_scores_gemma":[0.1668895,0.001150216,0.0007158222,0.01241306,0.04118536,0.06005975,0.01840763,0.007106071,0.004925539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02870365,"about_ca_system_score_gemma":0.09201074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1028136,"about_ca_topic_score_gemma":0.1329304,"domain_scores_codex":[0.8742273,0.06554382,0.006436546,0.005580575,0.04217941,0.00603221],"domain_scores_gemma":[0.8344713,0.03037511,0.006311056,0.02674894,0.08272836,0.01936524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004462616,0.00009370969,0.003892163,0.0009013164,0.00001363625,0.0003029553,0.08188169,0.0003316007,0.0006787036,0.4998786,0.2518102,0.1601709],"study_design_scores_gemma":[0.00001057481,0.00002321028,0.001939809,0.0008717245,0.000009962235,0.0002200746,0.0538135,0.0001785338,0.0004141171,0.02892833,0.9135209,0.00006936739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02055676,0.006547936,0.09126343,0.2694906,0.009185175,0.002118108,0.0006690649,0.001482573,0.5986863],"genre_scores_gemma":[0.448771,0.01528015,0.2470236,0.05688016,0.004180054,0.006897559,0.001992877,0.005253155,0.2137215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1048877,"threshold_uncertainty_score":0.5547056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290198942298106,"score_gpt":0.2373513963586484,"score_spread":0.2083315021288378,"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."}}