{"id":"W3016782801","doi":"10.15353/acmla.n164.1728","title":"Bird’s-Eye Views of Alberta’s Land Boom of the 1910s","year":2020,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Queen's University","keywords":"Boom; Geography; Cartography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001417975,0.00007755918,0.0002466224,0.0002652058,0.0004837894,0.00009616454,0.0002815393,0.00007955671,0.0008053332],"category_scores_gemma":[0.0004427483,0.00008184872,0.0001181665,0.0002874909,0.0005732059,0.00007916328,0.00004619421,0.000108759,0.00000938529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005262584,"about_ca_system_score_gemma":0.001088797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8437814,"about_ca_topic_score_gemma":0.9686164,"domain_scores_codex":[0.9989117,0.0001959056,0.0002922282,0.0001368584,0.0002355661,0.000227675],"domain_scores_gemma":[0.9988894,0.0003099337,0.0003618246,0.0001156567,0.0000235647,0.0002996522],"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":[0.00004660403,0.00002913258,0.2523025,0.0002309185,0.0001364698,0.000002068841,0.07683194,0.00001192762,0.0001408189,0.2093478,0.4571223,0.003797435],"study_design_scores_gemma":[0.0001690607,0.00002268751,0.04711236,0.00003487264,0.00002205734,5.046953e-8,0.001027852,0.000006168604,0.00002670702,0.001217319,0.9502798,0.00008102222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07093988,0.003208293,0.00001224246,0.5307421,0.0007745443,0.0008282584,0.0008527686,0.00007648242,0.3925654],"genre_scores_gemma":[0.8993824,0.002085935,0.0007847616,0.005150427,0.0005923201,0.00001498936,0.00002176702,0.00006583699,0.09190153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284426,"threshold_uncertainty_score":0.8817834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121160410332048,"score_gpt":0.1837680272667803,"score_spread":0.1725564231634598,"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."}}