{"id":"W4416132484","doi":"10.1145/3736425.3770111","title":"METIS: Crowdsourced Lane Line Map Construction","year":2025,"lang":"","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Scalability; Pipeline (software); Outlier; Segmentation; Zoom; Automation; Visualization; Perception; Graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005918147,0.001387295,0.0006641501,0.001967674,0.0006270233,0.0009359688,0.001747998,0.0007267992,0.005972263],"category_scores_gemma":[0.002076299,0.0004899461,0.0007943927,0.001473361,0.0004538227,0.001071496,0.003117968,0.0009526036,0.005251331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004272963,"about_ca_system_score_gemma":0.001126973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008317662,"about_ca_topic_score_gemma":0.01253857,"domain_scores_codex":[0.9992173,0.00009458935,0.00002326933,0.0002000426,0.0003948383,0.00006993724],"domain_scores_gemma":[0.9992878,0.0001150329,0.00005015958,0.0002570732,0.0002176781,0.00007229106],"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":[0.000770659,0.0005098946,0.01220316,0.0007038504,0.0004161318,0.0008417321,0.001761885,0.1678446,0.05769604,0.01104191,0.1319726,0.6142376],"study_design_scores_gemma":[0.0001555726,0.0001907639,0.007422471,0.0001025419,0.00005036812,0.0002923002,0.0009561403,0.8257061,0.04010674,0.0216253,0.1032287,0.0001630536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03732032,0.0001696281,0.8559753,0.0002351048,0.0002690856,0.0007398799,0.01604816,0.07730135,0.01194127],"genre_scores_gemma":[0.3228493,0.0001556676,0.6309605,0.0001674614,0.0000715053,0.000724911,0.03627708,0.002872473,0.00592104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008317662,"threshold_uncertainty_score":0.01997924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005508394288149851,"score_gpt":0.2317908609230631,"score_spread":0.2262824666349133,"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."}}