{"id":"W92112668","doi":"10.1016/b978-0-444-62713-1.00021-0","title":"The Preservation and Archiving of Geospatial Data and Cybercartography as a Proactive Preservation Process","year":2014,"lang":"en","type":"book-chapter","venue":"Modern cartography","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Geospatial analysis; Process (computing); Computer science; Data science; Geography; 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"],"consensus_categories":[],"category_scores_codex":[0.001572102,0.0003112882,0.0004229555,0.0004303323,0.001268512,0.0002162346,0.0006264624,0.000250908,0.000004808611],"category_scores_gemma":[0.0002371508,0.0002547253,0.000122303,0.0002041924,0.001277941,0.0008291172,0.0004037433,0.000294549,0.000001197026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001140958,"about_ca_system_score_gemma":0.0001098512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145814,"about_ca_topic_score_gemma":0.00833878,"domain_scores_codex":[0.9974232,0.0001246628,0.0006275413,0.000502441,0.0009937524,0.000328428],"domain_scores_gemma":[0.9972646,0.0004761828,0.0008029158,0.0007140684,0.0006389521,0.0001032499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002279675,0.00003930118,0.05706505,0.001111473,0.001912961,0.000001382547,0.2126965,0.0000253439,0.00001507985,0.6290501,0.00169442,0.09616039],"study_design_scores_gemma":[0.0008688269,0.000265925,0.01817232,0.0008074703,0.0005472341,0.000005196671,0.007904857,0.003660596,0.00001004656,0.5048284,0.4618558,0.001073356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03611942,0.005785611,0.00789398,0.002142183,0.0005457476,0.005593666,0.0005321624,0.000263369,0.9411238],"genre_scores_gemma":[0.9861463,0.003179338,0.0002230611,0.00009009236,0.0003314786,0.0001866246,0.000205006,0.0000536574,0.009584438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500269,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282634898485617,"score_gpt":0.2917397851019556,"score_spread":0.2589134361170994,"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."}}