{"id":"W1815242552","doi":"","title":"From Data to Records: Preserving the Geographic Information System of the City of Vancouver","year":2007,"lang":"en","type":"article","venue":"Archivaria","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Southern California","keywords":"Context (archaeology); Geography; Library science; Information system; Geographic information system; Cartography; Political science; Archaeology; Computer 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":[0.001318662,0.0003010604,0.0002721678,0.003563396,0.00331698,0.008643324,0.001208133,0.0005212995,0.005448916],"category_scores_gemma":[0.01098975,0.0003688427,0.0002318451,0.01150569,0.0009562962,0.002232495,0.003319473,0.0008470321,0.00184848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020977,"about_ca_system_score_gemma":0.02415237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9104807,"about_ca_topic_score_gemma":0.9368994,"domain_scores_codex":[0.9979791,0.0002472522,0.0001287027,0.0002606587,0.001118133,0.0002661059],"domain_scores_gemma":[0.9931979,0.0007296837,0.0004219984,0.001443153,0.003656754,0.0005505835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002566147,0.00007727688,0.1344573,0.0006524209,0.00009096188,0.0007662583,0.01990768,0.007007605,0.004210929,0.03029644,0.1235863,0.6786903],"study_design_scores_gemma":[0.00002868225,0.00004458361,0.1368207,0.0003594524,0.00006357297,0.0003381373,0.02398797,0.009293857,0.004887979,0.00566734,0.8183948,0.0001129748],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685217,0.005584538,0.0598283,0.0181506,0.0006448107,0.001202306,0.09351745,0.005907206,0.2466431],"genre_scores_gemma":[0.7743179,0.004496009,0.05270997,0.0005920873,0.00009508587,0.0003613397,0.06630974,0.0008893007,0.1002287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08951932,"threshold_uncertainty_score":0.180093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725796804512935,"score_gpt":0.2455781130787778,"score_spread":0.1983201450336485,"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."}}