{"id":"W2122635855","doi":"10.1109/plans.1994.303355","title":"Analysis of the use of digital road maps in vehicle navigation","year":2002,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Digital mapping; Map matching; Computer science; Navigation system; Road map; Matching (statistics); Global Positioning System; Computer vision; Artificial intelligence; Geography; Cartography; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001750667,0.0002336583,0.0001216092,0.0076666,0.0003708827,0.001628678,0.0004220598,0.0002788664,0.002210528],"category_scores_gemma":[0.02039913,0.0001257336,0.0003258674,0.01136592,0.0004173703,0.00131259,0.0006143358,0.0002246075,0.0006369253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409462,"about_ca_system_score_gemma":0.0008513928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.036702,"about_ca_topic_score_gemma":0.03615135,"domain_scores_codex":[0.9979949,0.0008761188,0.00009406692,0.0001532239,0.0007424311,0.0001393012],"domain_scores_gemma":[0.9817986,0.01132863,0.001602217,0.0008739706,0.00412892,0.0002675994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004071024,0.0002261074,0.7069329,0.0005707398,0.0002507241,0.0006211621,0.005621178,0.01581215,0.001523752,0.01363937,0.00615613,0.2482387],"study_design_scores_gemma":[0.00001196884,0.0001523681,0.8948733,0.0001797031,0.00027365,0.0007134434,0.01383069,0.03898642,0.002868006,0.003148435,0.04488388,0.00007820727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643397,0.000974426,0.005268503,0.0003796197,0.00002033721,0.00009850377,0.004677269,0.0001147033,0.02412697],"genre_scores_gemma":[0.9902127,0.0006949378,0.004001475,0.00001738577,0.000008017329,0.00003395938,0.002882332,0.00003086804,0.002118222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.036702,"threshold_uncertainty_score":0.07297677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687011475020212,"score_gpt":0.2710982055882223,"score_spread":0.2142280908380202,"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."}}