{"id":"W1994328673","doi":"10.1080/2325548x.2014.894421","title":"Map Worlds: A History Of Women In Cartography","year":2014,"lang":"en","type":"article","venue":"The AAG Review of Books","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Bibliography; Art history; Cartography; History; Anthropology; Geography; Library science; Sociology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004776734,0.00009420596,0.0004584343,0.0001583636,0.00007430274,0.00000252897,0.0003950557,0.00004923561,0.0002500039],"category_scores_gemma":[0.0004195939,0.00007383045,0.0001852082,0.0002991315,0.0006007311,0.000046324,0.00002626573,0.0001342168,0.00001869801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006438379,"about_ca_system_score_gemma":0.0004146361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171946,"about_ca_topic_score_gemma":0.004804783,"domain_scores_codex":[0.9976608,0.0008042925,0.0005645558,0.0001482696,0.0004014127,0.000420634],"domain_scores_gemma":[0.9986643,0.0002748524,0.0003391998,0.0004252452,0.0001443675,0.0001520785],"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":[0.00003292981,0.0002773209,0.0263556,0.01658939,0.00006644347,9.624981e-7,0.2121569,0.000001407926,0.00003689286,0.5890282,0.1302104,0.02524359],"study_design_scores_gemma":[0.00008368343,0.00004818005,0.002181876,0.001025452,0.00001735804,8.079544e-8,0.000437227,0.000001262288,0.000002370669,0.009411528,0.986715,0.00007603641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06160619,0.5225326,0.00004312198,0.003769563,0.001318445,0.001790712,0.000008630172,0.00007561459,0.4088551],"genre_scores_gemma":[0.8240902,0.1367484,0.0005406659,0.0108692,0.0006362545,0.0002993392,0.000006545671,0.00004634383,0.02676302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8565046,"threshold_uncertainty_score":0.9948616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572825961130232,"score_gpt":0.2732775463510699,"score_spread":0.2575492867397676,"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."}}