{"id":"W2322328123","doi":"10.1115/ipc2004-0682","title":"Vertical Pipe Inspection Using Swarm of Independent Robots","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Commission","keywords":"Robot; Swarm behaviour; Climb; Rigidity (electromagnetism); Computer science; Mobile robot; Work (physics); Motion (physics); Simulation; Artificial intelligence; Engineering; Mechanical engineering; Structural engineering; Aerospace 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":[0.00005131548,0.0001187242,0.0001382028,0.0001143481,0.00004820131,0.00004228412,0.0001278753,0.00007534437,0.00006423845],"category_scores_gemma":[0.00002444976,0.0001237849,0.00004275015,0.0001034721,0.0000662228,0.0001110659,0.00003432953,0.0001290343,0.0000169125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008256442,"about_ca_system_score_gemma":0.00005216456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146795,"about_ca_topic_score_gemma":0.00006517697,"domain_scores_codex":[0.999237,0.000004635012,0.0002751389,0.0001562064,0.0001953288,0.0001316734],"domain_scores_gemma":[0.9996066,0.00001369651,0.0000301905,0.0001096145,0.0001696898,0.00007022107],"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":[0.0000367525,0.0003733705,0.008977314,0.00008663847,0.000184892,0.000008920333,0.0005430076,0.8379011,0.05134042,0.09102877,0.0009665306,0.008552267],"study_design_scores_gemma":[0.001341822,0.00004194196,0.01262923,0.0001185795,0.00004967208,0.00004044104,0.0001600403,0.9594948,0.01341347,0.01071629,0.001664793,0.0003289605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6215128,0.0002191302,0.3738465,0.0002374555,0.000498243,0.0001083772,0.00001992454,0.0001284028,0.003429124],"genre_scores_gemma":[0.9972829,0.0001480996,0.002171876,0.00002882429,0.0001926446,0.000007056783,0.00002815906,0.00001515315,0.0001253352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37577,"threshold_uncertainty_score":0.5047802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902568813521445,"score_gpt":0.2490642171725744,"score_spread":0.23003852903736,"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."}}