{"id":"W2753775263","doi":"10.5623/cig2017-105","title":"Geomatics and the Law","year":2017,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cadastre; Geomatics; Duty; Surveyor; Law; Engineering; Political science; Geography; Remote sensing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001874926,0.0003352037,0.0007181844,0.001322161,0.002252899,0.003797257,0.0007070228,0.002812897,0.006241575],"category_scores_gemma":[0.005771438,0.0003576459,0.0006103624,0.0008335265,0.01612698,0.006343212,0.001727151,0.0047627,0.0008490251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269239,"about_ca_system_score_gemma":0.001235035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006251683,"about_ca_topic_score_gemma":0.002911181,"domain_scores_codex":[0.9989042,0.0004342171,0.00005609439,0.0002429726,0.000280012,0.00008257846],"domain_scores_gemma":[0.9975628,0.001549068,0.0001639755,0.0003410527,0.000297012,0.00008605064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001352763,0.000002289052,0.00002990658,0.0000045486,9.753815e-7,0.000007335872,0.00004438644,0.0001713891,0.00001594692,0.9980343,0.0007394516,0.0009481811],"study_design_scores_gemma":[0.000003424876,0.000001997461,0.00004622696,0.000007570282,0.000001030127,0.00001416078,0.00001915281,0.0006889952,0.00002360979,0.9901258,0.009065694,0.000002277146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05135925,0.03659914,0.2600513,0.08835845,0.002191038,0.00006117687,0.0005815004,0.0003308422,0.5604674],"genre_scores_gemma":[0.9229321,0.006698228,0.0216796,0.005676629,0.002575736,0.0001416919,0.000159164,0.0001002349,0.04003654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006251683,"threshold_uncertainty_score":0.02088022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00751316679659438,"score_gpt":0.205489089108965,"score_spread":0.1979759223123706,"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."}}