{"id":"W4385830291","doi":"10.15353/acmla.n172.5454","title":"My story in Calgary","year":2023,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Downtown; World Wide Web; Geography; Library science; Cartography; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006305505,0.00009153602,0.0001995298,0.001050668,0.0006842237,0.00009310058,0.0001571721,0.00008993353,0.0001778252],"category_scores_gemma":[0.0004906235,0.0001027382,0.00005375274,0.0006879247,0.0002366175,0.0001589808,0.00005532765,0.0001390401,0.00005404569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000457746,"about_ca_system_score_gemma":0.0003006282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0641344,"about_ca_topic_score_gemma":0.1292426,"domain_scores_codex":[0.9986664,0.0002275371,0.0002795259,0.0001317152,0.0002763307,0.0004184718],"domain_scores_gemma":[0.9986854,0.0008194606,0.0001941712,0.00008839992,0.00002475005,0.0001878853],"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":[0.00001170843,0.00001081332,0.304502,0.00006667176,0.00006387968,0.000007243889,0.09313898,0.0000118372,0.00000484589,0.4031646,0.1946379,0.00437958],"study_design_scores_gemma":[0.0001733086,0.000009333801,0.2207345,0.0000374908,0.000003255922,7.949751e-8,0.01687296,0.00001456146,0.000002008408,0.003293807,0.7587687,0.00008995588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09206911,0.000824675,0.00001232203,0.172589,0.000868767,0.0006852981,0.0001565626,0.0001912893,0.732603],"genre_scores_gemma":[0.9010006,0.001962077,0.0007842042,0.001530091,0.00032097,0.00008129965,0.0001054064,0.00002626744,0.0941891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8089315,"threshold_uncertainty_score":0.9420976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094817056623689,"score_gpt":0.2064598279244467,"score_spread":0.1955116573582098,"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."}}