{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000180066,0.0001262945,0.0001801012,0.0001237921,0.00007497008,0.00006164311,0.0002097488,0.00008043129,0.000009811933],"category_scores_gemma":[0.00002681276,0.00008802401,0.0001149203,0.0003412214,0.00001713703,0.0001847578,0.00002157441,0.00007854954,0.00001976588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007479892,"about_ca_system_score_gemma":0.000005566444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002186694,"about_ca_topic_score_gemma":0.000001641313,"domain_scores_codex":[0.9992575,0.000002798531,0.0002504473,0.0001259038,0.0001652976,0.0001980631],"domain_scores_gemma":[0.9995332,0.00003242449,0.00009004105,0.0001017098,0.0001977673,0.0000449022],"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":[0.00002653626,0.00001604196,0.001994547,0.001461018,0.00005101121,3.230886e-8,0.0001358033,0.000129909,0.9751413,0.0004278848,0.003537755,0.01707815],"study_design_scores_gemma":[0.001842912,0.0001701669,0.01125566,0.001213341,0.00008160157,0.000007591243,0.001035885,0.2013922,0.7723237,0.0002774548,0.009970031,0.0004295672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927156,0.0001661094,0.002046926,0.0001115115,0.0007090495,0.001073646,0.000004483431,0.0002527898,0.002919884],"genre_scores_gemma":[0.998902,6.509414e-7,0.0003446887,0.00001823344,0.0001665857,0.0002978735,2.144557e-7,0.00003677984,0.0002329971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028177,"threshold_uncertainty_score":0.3589515,"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."}}