{"id":"W70484859","doi":"10.22260/isarc2013/0110","title":"Stereo Vision Based Worker Detection System for Excavator","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Elevator Systems and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavator; Obstacle; Computer vision; Computer science; Artificial intelligence; Stereopsis; Machine vision; Distortion (music); Stereo cameras; Operator (biology); Engineering","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":[0.0003415896,0.0004177902,0.0006483461,0.001115829,0.0003255544,0.0003947308,0.001131888,0.0008837509,0.004668132],"category_scores_gemma":[0.0004570192,0.0003180787,0.0004332863,0.0004331851,0.000160137,0.0004258994,0.0006344102,0.0004035479,0.00205466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069513,"about_ca_system_score_gemma":0.0008527783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027209,"about_ca_topic_score_gemma":0.002307391,"domain_scores_codex":[0.99955,0.00003353435,0.00001741602,0.00009420632,0.0002395103,0.00006523688],"domain_scores_gemma":[0.9996485,0.00003037813,0.00002867098,0.00003581673,0.0002198929,0.00003677255],"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":[0.0006746912,0.0002138118,0.005377718,0.0003136542,0.00004632205,0.0005678271,0.0003587308,0.002900751,0.5108861,0.0007941125,0.01566412,0.4622021],"study_design_scores_gemma":[0.0004331267,0.001844945,0.05549442,0.0001636725,0.0002954107,0.003987463,0.0006127377,0.3905272,0.473818,0.001398109,0.07108067,0.0003441703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1581135,0.000750215,0.8117095,0.0004239406,0.0002854537,0.0004003284,0.0007183673,0.01473916,0.01285955],"genre_scores_gemma":[0.6552749,0.0005113758,0.3228154,0.0004831866,0.0001255264,0.0003352715,0.001136327,0.0001979625,0.01912004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004668132,"threshold_uncertainty_score":0.01561648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004497515753755275,"score_gpt":0.1760619809457592,"score_spread":0.1715644651920039,"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."}}