{"id":"W4392241443","doi":"10.3390/rs16050839","title":"Mapping Remote Roads Using Artificial Intelligence and Satellite Imagery","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"Canada Research Chairs; James Cook University","keywords":"Remote sensing; Satellite imagery; Computer science; Intersection (aeronautics); Thematic map; Scale (ratio); Cartography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002284636,0.0001858449,0.0001659667,0.0002491522,0.0001164428,0.0002550767,0.00003779797,0.0001208097,0.000004943146],"category_scores_gemma":[0.00002672771,0.0001940908,0.00005704566,0.0003931446,0.00004184947,0.0002326544,0.00002759604,0.0002966158,0.00004121951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131171,"about_ca_system_score_gemma":0.00001704855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005730489,"about_ca_topic_score_gemma":0.000003861633,"domain_scores_codex":[0.9989966,0.00002414319,0.000283087,0.0002657419,0.0001313646,0.0002990579],"domain_scores_gemma":[0.99967,0.00006944371,0.00002323478,0.0001477291,0.00002407776,0.00006548323],"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":[0.000001614491,7.386757e-7,3.094332e-7,0.0001246383,0.00002067569,0.0001053233,0.0002693525,0.01287708,0.2210783,0.00004552884,0.00001051617,0.7654659],"study_design_scores_gemma":[0.00001027819,0.000004457052,0.00001844412,0.0006717546,0.00001877688,0.0004393921,0.0001454673,0.9633507,0.02999557,0.003100815,0.002024824,0.0002195054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3623074,0.00303541,0.6312185,0.00006089976,0.001105329,0.00006763459,8.44003e-7,0.001101261,0.001102724],"genre_scores_gemma":[0.9236636,0.000617486,0.07514878,0.0000199457,0.0004548702,2.356509e-9,0.00000318244,0.00006224523,0.00002995098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9504737,"threshold_uncertainty_score":0.7914793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365437643126813,"score_gpt":0.2644985572441034,"score_spread":0.2308441808128353,"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."}}