{"id":"W174584624","doi":"10.22260/isarc2013/0124","title":"Improving Site and Materials Handling Operations through Autonomous Vehicle-Related Technologies","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Computer science; Download; Suite; Automotive industry; Manufacturing engineering; Systems engineering; Engineering; Transport engineering; Operating system","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":[0.0007181324,0.0004911047,0.0003331908,0.001140706,0.0002617355,0.001267538,0.001000446,0.0005791291,0.002718065],"category_scores_gemma":[0.0008055791,0.0002044328,0.0003449403,0.0006485104,0.000390275,0.001243222,0.0009203618,0.0004923086,0.001722661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843885,"about_ca_system_score_gemma":0.0008635202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811645,"about_ca_topic_score_gemma":0.002513387,"domain_scores_codex":[0.9991907,0.00009962105,0.00002454958,0.0001043571,0.0004837847,0.00009686168],"domain_scores_gemma":[0.9990528,0.0001420579,0.00009909319,0.0001600762,0.0004884041,0.00005758125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001413002,0.0004261235,0.01007939,0.0002138839,0.00004428235,0.0001076062,0.0003533011,0.02918662,0.2135916,0.004794891,0.007138425,0.7339225],"study_design_scores_gemma":[0.0001213102,0.002731867,0.02816351,0.000102633,0.0001477222,0.0007952267,0.0009410372,0.3346271,0.473936,0.00835095,0.1499321,0.0001505446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2112368,0.0008023954,0.7646715,0.0003688877,0.00009569684,0.0002663321,0.0002025261,0.005421975,0.01693386],"genre_scores_gemma":[0.6914904,0.0005855723,0.295595,0.00007794091,0.00003354566,0.0001071463,0.000650243,0.000368872,0.01109122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002718065,"threshold_uncertainty_score":0.009092808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008494468632457884,"score_gpt":0.1902283142006757,"score_spread":0.1817338455682178,"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."}}