{"id":"W2084374356","doi":"10.1139/l08-074","title":"Sectional mapping of local roads in Spain","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Restructuring; Transport engineering; Computer science; Information system; Process (computing); Geography; Operations research; Cartography; Engineering; Business","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":[0.0006098106,0.0002048541,0.0002565565,0.002937504,0.0003554912,0.0009287547,0.00036826,0.0002186609,0.002109047],"category_scores_gemma":[0.001145444,0.0001356038,0.0001916112,0.003751541,0.0002658212,0.0002808122,0.0006845046,0.0001543413,0.000426926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379522,"about_ca_system_score_gemma":0.000928975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0851797,"about_ca_topic_score_gemma":0.1217903,"domain_scores_codex":[0.9996489,0.00009423756,0.00001971427,0.0001074709,0.00007105837,0.00005869362],"domain_scores_gemma":[0.9993826,0.00006458291,0.0001049654,0.00006718373,0.0003277336,0.00005292122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008522242,0.00020905,0.7522292,0.0007028822,0.0001210166,0.001072848,0.006575334,0.0296035,0.01414576,0.003956287,0.006545771,0.1839862],"study_design_scores_gemma":[0.00002000248,0.00007849533,0.9748848,0.00007524766,0.00003648475,0.0001630012,0.003098548,0.00438272,0.0007419938,0.0002893895,0.01620449,0.00002480595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727577,0.0006813774,0.002981776,0.00004938457,0.00001241507,0.0001110697,0.00295155,0.0002688714,0.0201859],"genre_scores_gemma":[0.9880258,0.0003640042,0.004620666,0.000009284904,0.000005870414,0.00007016789,0.002687617,0.00002774602,0.004188798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0851797,"threshold_uncertainty_score":0.1693678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008525956372515449,"score_gpt":0.1701481013306921,"score_spread":0.1616221449581767,"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."}}