{"id":"W2042914194","doi":"10.1080/10095020.2012.708150","title":"Abstraction of informed virtual geographic environments","year":2012,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Abstraction; Situated; Geographic information system; Representation (politics); Graph; Theoretical computer science; Human–computer interaction; Data science; Artificial intelligence; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009855679,0.00009904138,0.00009084211,0.0004901614,0.0002042966,0.0002353135,0.00100534,0.00003380673,0.00003698966],"category_scores_gemma":[0.000103508,0.00009019345,0.0000360147,0.0008342153,0.0002256737,0.02960584,0.0004341796,0.00007816371,0.0003645619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004440916,"about_ca_system_score_gemma":0.0000651891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001693703,"about_ca_topic_score_gemma":0.000004611933,"domain_scores_codex":[0.9982133,0.00001125867,0.0004006199,0.0001136121,0.0008888905,0.0003723514],"domain_scores_gemma":[0.9990294,0.00003247609,0.0003158728,0.0004273487,0.00006355955,0.0001313497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007627733,0.00009428295,0.006184503,0.00002080622,0.00001103514,1.809993e-7,0.002914618,0.0005855684,0.001445152,0.0533333,0.0003883076,0.9350146],"study_design_scores_gemma":[0.0007808839,0.0001876491,0.6996856,0.0000261514,0.00001215824,0.000008767283,0.000497587,0.1216375,0.02191244,0.0003484999,0.1543991,0.0005036404],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05107134,0.000008044167,0.9390147,0.00009857197,0.001014493,0.0001821853,0.000008519389,0.00006105068,0.00854114],"genre_scores_gemma":[0.9928142,0.0000253996,0.006780094,0.0002617084,0.00004075459,0.000009633813,0.00002291984,0.000001515126,0.00004376872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9417429,"threshold_uncertainty_score":0.9839666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129804264962671,"score_gpt":0.2433039858752443,"score_spread":0.2303235593789772,"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."}}