{"id":"W2617016056","doi":"10.16995/dm.37","title":"The ARQUIBANC Project: Location, Recovery, Arrangement, and Dissemination of Catalan Private Archives and Documents | Digital Medievalist","year":2012,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalan; Computer science; World Wide Web; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0001261501,0.000200034,0.0001718221,0.00009446279,0.0003036747,0.001018312,0.0001634677,0.00001187663,0.0000127061],"category_scores_gemma":[0.0002251166,0.0001377932,0.00004957335,0.00005502245,0.0009998833,0.002059945,0.0001713808,0.0000674773,0.000009256998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001289384,"about_ca_system_score_gemma":0.00001605082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001987196,"about_ca_topic_score_gemma":0.00002109479,"domain_scores_codex":[0.9987677,0.00001742184,0.0003449413,0.0002196066,0.0003505568,0.0002997147],"domain_scores_gemma":[0.9990281,0.0004431421,0.0001804571,0.0001783733,0.00005302022,0.0001168519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001686551,0.0004599575,0.005043617,0.0004357538,0.0002877047,0.00000273757,0.01531183,5.66638e-7,0.00003020454,0.7696179,0.007008283,0.2016328],"study_design_scores_gemma":[0.00063827,0.0004609471,0.04637258,0.0006565957,0.0001190933,0.00002122206,0.00658858,0.00007737038,0.0001098656,0.0548998,0.8893764,0.0006792825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1934142,0.001075791,0.0001475173,0.001086051,0.0007693995,0.0009211082,0.001595227,0.00008366173,0.8009071],"genre_scores_gemma":[0.9895478,0.0001743071,0.00002069793,0.0000443546,0.0002752223,0.00005258463,0.0006015513,0.00001965668,0.009263816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8823681,"threshold_uncertainty_score":0.9819602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544463406052076,"score_gpt":0.2362184298331448,"score_spread":0.220773795772624,"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."}}