{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931491,0.0009337941,0.0009249349,0.001179887,0.04458884,0.01363951,0.002853493,0.006878678,0.03665265],"category_scores_gemma":[0.005326167,0.0005615609,0.0004614572,0.002259806,0.01378774,0.00555815,0.01292657,0.02268297,0.008719509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02831973,"about_ca_system_score_gemma":0.01837172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5744073,"about_ca_topic_score_gemma":0.6708894,"domain_scores_codex":[0.9967192,0.0006693007,0.00005257161,0.0004040999,0.0006357923,0.001519055],"domain_scores_gemma":[0.9969071,0.0003302299,0.0001233053,0.00009875615,0.0006308594,0.001909738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003795304,0.00004787987,0.002081667,0.00007553155,0.0000176442,0.004506431,0.09787686,0.00004913118,0.0001360682,0.0189254,0.8482457,0.02799975],"study_design_scores_gemma":[0.00001022893,0.00001820874,0.001856364,0.000269858,0.000007376906,0.0006573614,0.1198133,0.00001675712,0.00005763351,0.002006445,0.8752616,0.00002483159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03187164,0.01906541,0.0004932667,0.6401859,0.02032701,0.00007856836,0.0004933721,0.0001942209,0.2872907],"genre_scores_gemma":[0.1954045,0.01814458,0.0006710606,0.3815824,0.003587954,0.0001594651,0.0004971099,0.000479813,0.3994732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4255927,"threshold_uncertainty_score":0.8561981,"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."}}