{"id":"W4238067439","doi":"10.1016/b978-0-08-102295-5.10581-5","title":"Mapping, Open Source","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geospatial analysis; Open data; Reuse; Open source software; Software; Computer science; World Wide Web; Data science; Open source; Open standard; Crowdsourcing; Interoperability; Geography; Engineering; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001222518,0.0003045215,0.0005828816,0.0002426669,0.0007659589,0.0003338321,0.001137428,0.0003913837,0.0008423446],"category_scores_gemma":[0.00003900287,0.0002953757,0.0002288686,0.00002919546,0.0003621667,0.0001622214,0.0006432348,0.0003382068,0.004001776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200568,"about_ca_system_score_gemma":0.0003698553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007444636,"about_ca_topic_score_gemma":0.0008963221,"domain_scores_codex":[0.9979995,0.00005164399,0.0005461642,0.0003183272,0.000690246,0.0003940844],"domain_scores_gemma":[0.9984561,0.00008717892,0.0005504963,0.0005166124,0.0002730766,0.0001165992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002519271,0.000001842657,0.00008141588,0.00006582064,0.0001466066,0.000002091263,0.03219978,2.273482e-7,1.531041e-7,0.177542,0.003940199,0.7860174],"study_design_scores_gemma":[0.0001576548,0.00001274396,0.00002907268,0.0003407119,0.00002045557,0.000001481309,0.002592601,3.370416e-7,1.733877e-7,0.007183824,0.9893008,0.000360105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007107183,0.0004459035,0.000006100816,0.0002701912,0.0009928436,0.001687567,0.00001500917,0.0001210038,0.9964543],"genre_scores_gemma":[0.0006135811,0.0001207824,0.00008837659,0.0006489994,0.0004504806,0.00004651258,0.00001001815,0.0000457229,0.9979755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9853606,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348319792828574,"score_gpt":0.2823570631110046,"score_spread":0.2488738651827188,"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."}}