{"id":"W4414347490","doi":"10.5194/isprs-archives-xlviii-4-w16-2025-17-2025","title":"LoChain: A Decentralized and Privacy-Preserving Blockchain Protocol for Mobility Data Management","year":2025,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data management; Blockchain; Data aggregator; Mobility management; Information privacy; Protocol (science); Obfuscation; Data integrity; Data sharing; Position paper","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001685807,0.0003830303,0.0004864123,0.0006383358,0.001214089,0.001218382,0.001465061,0.0009107704,0.00473032],"category_scores_gemma":[0.003451054,0.0002869969,0.0002373165,0.0008189923,0.001026012,0.002721024,0.003001896,0.001135127,0.0009296152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008440298,"about_ca_system_score_gemma":0.002316141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010075,"about_ca_topic_score_gemma":0.002370239,"domain_scores_codex":[0.9986669,0.0004363324,0.00009543513,0.0001694382,0.0004658375,0.0001659763],"domain_scores_gemma":[0.9979559,0.0004942333,0.000258533,0.0007523983,0.0003244815,0.000214369],"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":[0.001827004,0.0007434147,0.005115088,0.0007885944,0.0001748332,0.00184317,0.001321044,0.2498578,0.0587793,0.2683069,0.03498492,0.376258],"study_design_scores_gemma":[0.0003745774,0.000438887,0.0006848572,0.00008481512,0.00003723591,0.0004567543,0.0001340784,0.855841,0.02152118,0.06808102,0.05225181,0.00009378012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05376225,0.0005348774,0.9265069,0.000984404,0.0002654918,0.001028072,0.0006198229,0.004179464,0.01211868],"genre_scores_gemma":[0.8651662,0.0004525047,0.122395,0.0002622713,0.000102763,0.0008095496,0.001011038,0.0001512751,0.009649375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00473032,"threshold_uncertainty_score":0.0158245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273976496294044,"score_gpt":0.2839754544896344,"score_spread":0.261235689526694,"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."}}