{"id":"W2082858051","doi":"10.1117/12.487039","title":"Telerobotic management system: coordinating multiple human operators with multiple robots","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Computer science; Plan (archaeology); Petri net; Distributed computing; Operator (biology); Human–computer interaction; Artificial intelligence; Real-time computing; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006191676,0.0005131084,0.0002999968,0.0003104868,0.0008222567,0.0009012943,0.0008753673,0.0007018436,0.006097539],"category_scores_gemma":[0.0005747057,0.0002112811,0.0002084591,0.0002873158,0.0004606832,0.0008542158,0.0008423015,0.000481414,0.001481487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004504899,"about_ca_system_score_gemma":0.000963556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283872,"about_ca_topic_score_gemma":0.002958742,"domain_scores_codex":[0.9995942,0.00009042937,0.0000216455,0.00009117374,0.0001536307,0.00004898204],"domain_scores_gemma":[0.9996986,0.00006290605,0.00004988717,0.00004562397,0.00006426517,0.00007871036],"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":[0.0009909206,0.0006800377,0.004530457,0.000378789,0.000104305,0.001706173,0.001533456,0.0667533,0.1104782,0.04140485,0.03743139,0.7340081],"study_design_scores_gemma":[0.0003517222,0.0007772892,0.003219279,0.00009195559,0.000128087,0.001371119,0.0007947335,0.5810989,0.0863796,0.01623249,0.3094653,0.00008956676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0430099,0.0003279981,0.9273193,0.0005981198,0.000205679,0.0003702307,0.00009950958,0.006821363,0.021248],"genre_scores_gemma":[0.5700926,0.0004045438,0.3955833,0.0004128537,0.0001936323,0.0005608952,0.0003122718,0.0002546859,0.03218529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006097539,"threshold_uncertainty_score":0.02039826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008354947811777012,"score_gpt":0.2081258636013518,"score_spread":0.1997709157895748,"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."}}