{"id":"W2560907338","doi":"10.5623/cig2016-305","title":"Cadastre 2020 ♦ Coordinate Cadastre 2020 2030-2040 2050 2060 2070","year":2016,"lang":"pt","type":"article","venue":"GEOMATICA","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cadastre; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003734879,0.0008847968,0.000853688,0.0001453381,0.0003585142,0.0001607641,0.0008570938,0.0005361027,0.004818633],"category_scores_gemma":[0.0002767324,0.0007727239,0.0002968713,0.0007100016,0.0002049602,0.0003580437,0.0004087083,0.0005847218,0.01140111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868329,"about_ca_system_score_gemma":0.0001771129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004411483,"about_ca_topic_score_gemma":0.0005349399,"domain_scores_codex":[0.9953234,0.000102699,0.001274308,0.0009864914,0.0006988546,0.001614244],"domain_scores_gemma":[0.9965369,0.0004081207,0.0002877303,0.001731617,0.0002957028,0.000739974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005416064,0.000395027,0.001552485,0.001039701,0.0007944661,0.0001822592,0.001624707,0.03101663,0.0100634,0.002493136,0.9133397,0.03744438],"study_design_scores_gemma":[0.006225932,0.0006172148,0.01535692,0.004704998,0.001601574,0.0003722203,0.0008584595,0.6099842,0.005560117,0.01215766,0.3364274,0.006133338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2445888,0.007096419,0.6237546,0.05920038,0.006941276,0.005530838,0.005604972,0.003954306,0.04332847],"genre_scores_gemma":[0.9510319,0.0009138917,0.01531624,0.0003034035,0.001565586,0.0004719459,0.0002536706,0.0003896211,0.02975375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7064431,"threshold_uncertainty_score":0.9994724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007966020501745634,"score_gpt":0.216465193666053,"score_spread":0.2084991731643074,"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."}}