{"id":"W4366855181","doi":"","title":"Inferring Road Intersection Control Type from GPS Data","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Global Positioning System; Computer science; Type (biology); Geography; Cartography; Geology; Telecommunications","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":[0.000494011,0.0007315692,0.0005381428,0.002430164,0.0004041816,0.001125625,0.0008082719,0.0006452125,0.001394513],"category_scores_gemma":[0.003216067,0.000316312,0.0007317617,0.002410179,0.0002435573,0.0008178576,0.0005185562,0.0007848708,0.001402713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175914,"about_ca_system_score_gemma":0.002233349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2783916,"about_ca_topic_score_gemma":0.3294161,"domain_scores_codex":[0.9994398,0.0000780517,0.00003076141,0.0001643334,0.0001814582,0.0001055826],"domain_scores_gemma":[0.9989406,0.0002312413,0.0001048925,0.0001995688,0.0004822351,0.00004130253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002032831,0.0002592985,0.4497429,0.0001535656,0.0001421164,0.0002092736,0.0001989078,0.4062993,0.003523584,0.001657099,0.009591434,0.1280192],"study_design_scores_gemma":[0.00001280029,0.00006467169,0.138417,0.00004699055,0.00005095355,0.00006002599,0.0002948956,0.8519439,0.003827263,0.001478509,0.003764046,0.00003895902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872613,0.0002227479,0.07368579,0.0002439341,0.00004568265,0.0001878615,0.03001876,0.002055456,0.006278506],"genre_scores_gemma":[0.9505142,0.000143123,0.02071189,0.00001765979,0.000008994108,0.00004825955,0.02697821,0.0000486996,0.00152902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2783916,"threshold_uncertainty_score":0.5535423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303988684333032,"score_gpt":0.5029604711030123,"score_spread":0.2725616026697091,"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."}}