{"id":"W4408263124","doi":"10.29173/pathfinder115","title":"Metadata Practices for Canadian Cultural Landscapes","year":2025,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; World Wide Web; Information retrieval; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006713198,0.0006009641,0.0006315843,0.01540351,0.01305598,0.01266738,0.002149154,0.001056192,0.006549806],"category_scores_gemma":[0.01865854,0.0003287688,0.0008594021,0.03500688,0.005449205,0.00587953,0.004079773,0.001550681,0.0005892206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1350651,"about_ca_system_score_gemma":0.2778883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893194,"about_ca_topic_score_gemma":0.9933317,"domain_scores_codex":[0.9944057,0.0008971287,0.000591159,0.0004716553,0.003064041,0.000570241],"domain_scores_gemma":[0.980451,0.002845454,0.0009549082,0.0007292539,0.01414391,0.0008756214],"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":[0.00006611152,0.00003646817,0.01378604,0.009927005,0.00009679314,0.0008804493,0.05262732,0.001279865,0.002221476,0.1937526,0.09990056,0.6254254],"study_design_scores_gemma":[0.000004663165,0.000009974599,0.01277887,0.007153894,0.00009313256,0.0002676386,0.02625556,0.0001564008,0.000683321,0.00466384,0.9478578,0.00007481698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06003781,0.4485828,0.01330861,0.07217047,0.001747112,0.0005160227,0.01152451,0.0005446789,0.3915679],"genre_scores_gemma":[0.493652,0.411574,0.03993734,0.006973602,0.0002197795,0.0004261823,0.007673816,0.0002977744,0.0392455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1350651,"threshold_uncertainty_score":0.9799705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07683102597331304,"score_gpt":0.340016216331772,"score_spread":0.2631851903584589,"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."}}