{"id":"W617291485","doi":"","title":"Geography and Genealogy: Locating Personal Pasts","year":2008,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Genealogy; Historical geography; Geography; Cultural geography; Family tree; Toponymy; Tourism; Cartography; Art history; History; Anthropology; Human geography; Sociology; Archaeology; Economic geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003745481,0.0005020407,0.0002674076,0.002313398,0.001490875,0.004033326,0.0006994245,0.00110331,0.02726115],"category_scores_gemma":[0.001595626,0.0002650369,0.0002092234,0.003115675,0.003213324,0.005207118,0.000982334,0.001133931,0.006406607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751065,"about_ca_system_score_gemma":0.001347065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009713576,"about_ca_topic_score_gemma":0.01945051,"domain_scores_codex":[0.9997848,0.00008379756,0.0000114972,0.00003749163,0.00007193772,0.00001054796],"domain_scores_gemma":[0.9994123,0.0003911366,0.0000309669,0.00003568199,0.00008435741,0.00004562021],"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":[0.00001394292,0.00001757576,0.0008304397,0.0003328021,0.000005711876,0.0001494802,0.006032331,0.0005207512,0.0002759707,0.2224946,0.5932854,0.1760408],"study_design_scores_gemma":[0.000001134996,0.000003025553,0.0005373501,0.0002978964,0.000002032033,0.0001545007,0.001129562,0.0000832474,0.0000329844,0.01456383,0.9831907,0.000003865455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003095641,0.1919159,0.02429738,0.02837721,0.006611873,0.000107383,0.000948154,0.0006598554,0.7439867],"genre_scores_gemma":[0.06038997,0.1933579,0.03563459,0.005125401,0.005348308,0.0001877906,0.001294176,0.0005051856,0.6981566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02726115,"threshold_uncertainty_score":0.09119761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005471911989967785,"score_gpt":0.1918026679550172,"score_spread":0.1863307559650494,"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."}}