{"id":"W2803215692","doi":"10.3390/wevj7030380","title":"Testing Methodology of Vehicle Pedestrian Notification Systems","year":2015,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Transport Canada","keywords":"Pedestrian; Automotive engineering; Transport engineering; Noise (video); Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001452786,0.0005466833,0.0003234969,0.001311903,0.0004396621,0.000574558,0.0008506313,0.0003672815,0.004844152],"category_scores_gemma":[0.0032121,0.0002247517,0.0002553999,0.0004849889,0.0003485719,0.0004754816,0.0006363886,0.0003039872,0.0009633261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005872865,"about_ca_system_score_gemma":0.001119622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002124659,"about_ca_topic_score_gemma":0.002085859,"domain_scores_codex":[0.9979582,0.0003267466,0.0001318135,0.0002543107,0.001182467,0.0001464073],"domain_scores_gemma":[0.9977357,0.0003633974,0.0001665299,0.0002006844,0.001454436,0.00007929488],"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":[0.0004837267,0.0004113051,0.01383979,0.0007585544,0.00004159001,0.0004882814,0.0009689063,0.02779033,0.5655175,0.007739007,0.001410678,0.3805504],"study_design_scores_gemma":[0.00008609481,0.004364119,0.02023881,0.0001466873,0.00007444904,0.0008845794,0.0007095456,0.1869911,0.7586113,0.002729073,0.0250737,0.00009055519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1990188,0.0003215991,0.7832435,0.00007795048,0.0001623895,0.00150601,0.0003323587,0.001780549,0.01355676],"genre_scores_gemma":[0.7561701,0.0002464409,0.234416,0.00007630926,0.0000237534,0.0009566636,0.0003865736,0.0001179368,0.007606137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004844152,"threshold_uncertainty_score":0.01620531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013894919791898,"score_gpt":0.2798123165341336,"score_spread":0.1784228245549439,"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."}}