{"id":"W1918366920","doi":"10.1109/robot.1995.525497","title":"Surface integration for inspection tasks","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Underwater; Orientation (vector space); Computer science; Hull; Marine engineering; Position (finance); Computer vision; Range (aeronautics); Artificial intelligence; Surface (topology); Engineering; Geology; Aerospace engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527707,0.0008591847,0.000786912,0.0007121796,0.0003239568,0.0008338006,0.0009112665,0.0009850895,0.00764072],"category_scores_gemma":[0.001138224,0.0003496775,0.0005291702,0.0009648527,0.000317689,0.001167943,0.001253755,0.0006959795,0.005138129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217713,"about_ca_system_score_gemma":0.0003357843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055751,"about_ca_topic_score_gemma":0.001263197,"domain_scores_codex":[0.9995245,0.00005726411,0.00001627732,0.0001213671,0.0002370821,0.00004350072],"domain_scores_gemma":[0.9995795,0.00009197216,0.00003174983,0.000107586,0.0001633957,0.00002587715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001916233,0.00007711415,0.001044528,0.0002561957,0.0000390715,0.0002022867,0.0001645971,0.02632902,0.1515472,0.005651596,0.006448914,0.8080478],"study_design_scores_gemma":[0.0000399498,0.0004247023,0.005359425,0.00007776198,0.0000710596,0.001123648,0.0001876941,0.8034482,0.09606828,0.01681815,0.07631484,0.00006624986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009460565,0.0004346153,0.9823291,0.00007266375,0.00005266258,0.00004627784,0.00008676449,0.004069282,0.003448098],"genre_scores_gemma":[0.2328644,0.0006315258,0.7555395,0.0001305185,0.00005565374,0.0001217129,0.001153563,0.0005753593,0.008927863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00764072,"threshold_uncertainty_score":0.02556074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235201835071737,"score_gpt":0.2095139670695957,"score_spread":0.185993783562422,"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."}}