{"id":"W4232951286","doi":"10.1109/iros.2011.6048096","title":"Real-world demonstration of sensor-based robotic automation in oil &amp;amp; gas facilities","year":2011,"lang":"en","type":"article","venue":"2011 IEEE/RSJ International Conference on Intelligent Robots and Systems","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Automation; Computer science; Embedded system; Systems engineering; Environmental science; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002962122,0.0002062268,0.0002699886,0.0004722953,0.00003317313,0.00005528462,0.0001605115,0.0001006027,0.000447167],"category_scores_gemma":[0.00001714869,0.0001934495,0.00005458037,0.00009580014,0.00007926173,0.0001861738,0.00001115586,0.0001625475,0.0001017241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079865,"about_ca_system_score_gemma":0.00003474449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467691,"about_ca_topic_score_gemma":0.000757012,"domain_scores_codex":[0.9985864,0.00006691919,0.0006315968,0.000248106,0.0002947645,0.0001722022],"domain_scores_gemma":[0.9992997,0.00003927972,0.0001433161,0.0002141055,0.0002408747,0.00006272201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005471543,0.001165029,0.05083607,0.003381493,0.0006411214,0.0000244143,0.01306625,0.4541947,0.05214961,0.2798722,0.009119848,0.1350022],"study_design_scores_gemma":[0.001298837,0.0004846268,0.01364875,0.003420952,0.00008745,0.00006290236,0.002956762,0.7505803,0.2099378,0.008079356,0.007323743,0.002118524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168707,0.0002968925,0.1172833,0.0005062852,0.006134726,0.0007202333,0.0001117662,0.0009790462,0.157097],"genre_scores_gemma":[0.9926697,0.0006833735,0.001474832,0.000009822103,0.00008294172,0.00006135022,0.00004901277,0.00001787125,0.004951107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2963856,"threshold_uncertainty_score":0.7888642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047784188986325,"score_gpt":0.2872218282274921,"score_spread":0.1824434093288596,"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."}}