{"id":"W1502188471","doi":"","title":"Review of literature on acoustic warning signals and forklift trucks","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"","keywords":"Truck; Relevance (law); Warning system; Noise (video); SIGNAL (programming language); Computer science; Acoustics; Automotive engineering; Engineering; Telecommunications; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007856841,0.000116849,0.000185147,0.00008997593,0.0000457285,0.00002721171,0.00006988266,0.00008757337,0.0004612313],"category_scores_gemma":[0.00006081136,0.000116572,0.00003235794,0.0001620329,0.00001709166,0.00005981177,0.000002104253,0.000162065,0.0000213002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004148219,"about_ca_system_score_gemma":0.00006740172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126865,"about_ca_topic_score_gemma":0.0002299065,"domain_scores_codex":[0.9994172,0.00001430813,0.0001850296,0.00009999127,0.00007510267,0.0002084059],"domain_scores_gemma":[0.99949,0.00005898616,0.00001794148,0.0001443485,0.00004736207,0.0002413312],"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":[0.00002239792,0.00002302319,0.0002289825,0.01403805,0.0001855584,0.000163917,0.001009964,0.3734693,0.03843873,0.0003309218,0.1868421,0.3852471],"study_design_scores_gemma":[0.001551552,0.0003459411,0.005026605,0.03149704,0.000450361,0.0001122708,0.00008929676,0.818298,0.0009979012,0.0003907859,0.1399044,0.001335895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4567822,0.4380836,0.02148212,0.002526323,0.00126297,0.002423907,0.001887619,0.0007173466,0.07483386],"genre_scores_gemma":[0.9789043,0.01766081,0.0001590649,0.00281785,0.0001252774,0.00000742518,0.00002421153,0.00002539338,0.0002756535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5221221,"threshold_uncertainty_score":0.505016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005076630836214722,"score_gpt":0.1966814732062421,"score_spread":0.1916048423700274,"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."}}