{"id":"W2102967639","doi":"","title":"Building a Federated, Online Social Sciences and Humanities Database of Journals and Research Communication: A Canadian Initiative.","year":2003,"lang":"en","type":"article","venue":"Elpub digital library","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital humanities; Computer science; Library science; World Wide Web; Data science; Political science; Database; Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000424257,0.0001324912,0.0001839889,0.000379274,0.002126692,0.006716091,0.0002427365,0.00003651666,0.000771982],"category_scores_gemma":[0.0001544281,0.0001200646,0.00003193549,0.0001168799,0.002028291,0.007503207,0.0001952978,0.0002924586,0.000004388326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001631409,"about_ca_system_score_gemma":0.0002845825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007903654,"about_ca_topic_score_gemma":0.005800568,"domain_scores_codex":[0.9987672,0.000136252,0.0002783081,0.0001899705,0.0002881395,0.0003401241],"domain_scores_gemma":[0.9992518,0.0002950723,0.00007995708,0.0001088926,0.000145663,0.0001185704],"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":[0.000008856234,0.00005552186,0.001279927,0.00004151441,0.00002141028,0.00001077558,0.006438638,8.567768e-8,0.000003236673,0.984108,0.006595964,0.001436042],"study_design_scores_gemma":[0.0004234306,0.0002358984,0.0009732518,0.000348519,0.000009856084,0.00003650643,0.05737263,0.000009843825,0.000123032,0.1472755,0.7928312,0.0003603683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4410388,0.003426036,5.698396e-7,0.0007861599,0.0000377573,0.0001102708,0.001426158,0.0000282194,0.5531461],"genre_scores_gemma":[0.9956868,0.0001547917,0.0001216233,0.0005364447,0.000142345,0.000005544955,0.00010595,0.00001988645,0.003226568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8368326,"threshold_uncertainty_score":0.9991724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2797942760365428,"score_gpt":0.3449758704579221,"score_spread":0.06518159442137933,"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."}}