{"id":"W2217090229","doi":"","title":"High Accuracy, Low Cost Integrated Positioning System for the Toronto Transit System","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Transit (satellite); Transport engineering; Environmental science; Public transport; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007700867,0.0002470898,0.0003709048,0.00006410864,0.0002677463,0.00005629658,0.001922567,0.0001603741,0.00001200768],"category_scores_gemma":[0.0005390142,0.0001358109,0.0004325794,0.000376863,0.0003222602,0.0003865933,0.0002237823,0.0003142424,0.000002166292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620651,"about_ca_system_score_gemma":0.00001917287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171499,"about_ca_topic_score_gemma":0.0000095041,"domain_scores_codex":[0.9975787,0.00003312956,0.001163393,0.0002310319,0.0007982995,0.0001954186],"domain_scores_gemma":[0.9972404,0.0002747083,0.001056477,0.0003510147,0.00103845,0.00003895075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003582511,0.0004557604,0.0009818481,0.003992882,0.0006160822,2.848416e-7,0.001382346,0.1307356,0.7456212,0.0985103,0.002606627,0.01473885],"study_design_scores_gemma":[0.0008231825,0.0001179889,0.003256042,0.02111327,0.0002036179,0.0000392342,0.0006029741,0.09899282,0.8727406,0.0003787558,0.001463724,0.0002677532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96516,0.001154194,0.006322456,0.002119184,0.006656675,0.002774104,0.0003873829,0.0003668412,0.01505922],"genre_scores_gemma":[0.9981698,0.00007841468,0.00142635,0.00001787842,0.00008770968,0.00005552229,0.000008656489,0.0000291387,0.0001264623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271195,"threshold_uncertainty_score":0.5538207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403286608565947,"score_gpt":0.2316128777819745,"score_spread":0.2175800116963151,"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."}}