{"id":"W6901933256","doi":"10.6084/m9.figshare.23285323","title":"The ideal vulnerable road user – a study of parameters affecting VRU detection","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Track (disk drive); Benchmark (surveying); Baseline (sea); Control (management); Scenario testing; Test (biology); Truck","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":[0.0009921353,0.0003827937,0.0003480492,0.0006343893,0.0003513232,0.0008620922,0.0004318301,0.0005798344,0.0009232154],"category_scores_gemma":[0.004426674,0.0001582025,0.0002806987,0.000324156,0.0003606659,0.001002927,0.0006704793,0.0002500837,0.0003870534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220172,"about_ca_system_score_gemma":0.0002980849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743825,"about_ca_topic_score_gemma":0.0027649,"domain_scores_codex":[0.9989975,0.0002949426,0.00006460489,0.0002443522,0.0002374999,0.0001611863],"domain_scores_gemma":[0.9974555,0.001178445,0.0003776064,0.0002171279,0.0006433773,0.0001278118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00315103,0.001826533,0.6280294,0.000720744,0.0002760466,0.001940195,0.002652176,0.1219414,0.118703,0.001354619,0.001608619,0.1177962],"study_design_scores_gemma":[0.0000639596,0.01490367,0.6346303,0.0001183071,0.0003293682,0.003341375,0.007512235,0.2257676,0.1080689,0.001158839,0.003912497,0.0001930513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970208,0.00006673977,0.002048921,0.0000121113,0.000004523703,0.00003286731,0.0000876683,0.00002275345,0.0007036041],"genre_scores_gemma":[0.9990119,0.00003316375,0.0007018292,0.000005647622,0.000001337715,0.00001217383,0.00008937695,0.000004834146,0.0001397217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003743825,"threshold_uncertainty_score":0.007444084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252076406710405,"score_gpt":0.2382519559845816,"score_spread":0.2130443153135411,"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."}}