{"id":"W2966397442","doi":"","title":"Land Property and Juridical Research at the Department of Geomatics Sciences","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geomatics; Geography; Cadastre; Property (philosophy); Surveyor; Land registration; Cartography; Regional science; Archaeology; Land tenure; Agriculture","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":[],"consensus_categories":[],"category_scores_codex":[0.001152326,0.00004998498,0.00009003491,0.00004921628,0.0003016471,0.0001228006,0.0003381577,0.00002541684,0.00003080888],"category_scores_gemma":[0.00006905321,0.00002264363,0.00001519838,0.0002396607,0.0004577649,0.0001505332,0.0003133024,0.00007797535,0.00009715373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001313666,"about_ca_system_score_gemma":0.0001174024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001675077,"about_ca_topic_score_gemma":0.000007007789,"domain_scores_codex":[0.9990051,0.00009602127,0.0001445759,0.0001719869,0.0003926397,0.0001896797],"domain_scores_gemma":[0.9994241,0.0001846703,0.00004827636,0.000241293,0.00006748027,0.00003420209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004666509,0.0004363449,0.1249374,0.001858628,0.0001076371,0.00001435482,0.008451648,0.0002358788,0.007586232,0.05023655,0.01928842,0.7868003],"study_design_scores_gemma":[0.0022801,0.001837752,0.06685241,0.001040714,0.00004962681,0.001234381,0.00110049,0.7221704,0.06554006,0.09896302,0.03798555,0.0009455009],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98569,0.000272916,0.002901831,0.002307714,0.0001214671,0.000224405,0.00000103072,0.00002645556,0.008454162],"genre_scores_gemma":[0.9798436,0.00001902726,0.01863008,0.00004567581,0.0000186519,0.000009884826,4.821232e-7,0.000002667064,0.001429912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7858548,"threshold_uncertainty_score":0.2320056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557024389132709,"score_gpt":0.3021927498151364,"score_spread":0.2666225059238093,"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."}}