{"id":"W2014347812","doi":"10.1108/02640470710741331","title":"Building interoperable Canadian architecture collections: initial metadata assessment","year":2007,"lang":"en","type":"article","venue":"The Electronic Library","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Interoperability; Architecture; Computer science; Collections management; Normalization (sociology); World Wide Web; Information retrieval; Database; Archaeology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001579866,0.000125447,0.0000955504,0.0001944404,0.0007753238,0.0007882416,0.0003674215,0.000009456021,0.001548545],"category_scores_gemma":[0.000003579659,0.00008253617,0.00006653192,0.0001113982,0.0001417856,0.001028508,0.0000878238,0.0003028893,0.00003231041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008151001,"about_ca_system_score_gemma":0.0003093074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458548,"about_ca_topic_score_gemma":0.02300757,"domain_scores_codex":[0.9989807,0.00003746978,0.0001612711,0.0001664344,0.0001397965,0.0005143558],"domain_scores_gemma":[0.9995797,0.00009628144,0.00003310734,0.0001832253,0.000008626197,0.00009905744],"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":[0.00001766125,0.00003268546,0.000003455658,0.000005654892,0.0001074589,0.000009948276,0.0005254811,0.00001798935,0.000004988419,0.9710781,0.02038005,0.007816518],"study_design_scores_gemma":[0.00008040826,0.0000850756,0.0001404361,0.00001039326,0.00001665497,0.00000687095,0.0001801153,0.00002892862,0.00009377157,0.2836027,0.7156597,0.00009493244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008552572,0.0001074506,0.001162113,0.00478825,0.0002986512,0.0002389197,0.00007740437,0.0001058434,0.9846688],"genre_scores_gemma":[0.92197,0.000016582,0.0002066693,0.002739887,0.0007013162,0.00002126525,0.0001071374,0.00002252785,0.07421469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9134173,"threshold_uncertainty_score":0.9993642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159717583595294,"score_gpt":0.225805204015898,"score_spread":0.2098334456563686,"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."}}