{"id":"W3083485727","doi":"10.3390/mi11090840","title":"A Comprehensive Review of Micro-Inertial Measurement Unit Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline Surveying","year":2020,"lang":"en","type":"review","venue":"Micromachines","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Chongqing Municipal Education Commission; National Natural Science Foundation of China","keywords":"Inertial measurement unit; Pipeline (software); Inertial frame of reference; Engineering; Sensor fusion; Computer science; Materials science; Systems engineering; Aerospace engineering; Mechanical engineering; Artificial intelligence; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007360847,0.0009570423,0.003265634,0.0004800195,0.00008428311,0.00003949888,0.0006715821,0.0003238828,0.0000395746],"category_scores_gemma":[0.0005636318,0.0007474563,0.001515239,0.0008217006,0.0000730352,0.00003760379,0.0001358557,0.0004597801,0.00002744426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750332,"about_ca_system_score_gemma":0.0001093828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004548624,"about_ca_topic_score_gemma":0.00006664814,"domain_scores_codex":[0.996656,0.0002553154,0.001635264,0.0006104714,0.000404049,0.0004389019],"domain_scores_gemma":[0.9979621,0.0002404122,0.0004435287,0.000619657,0.000651226,0.00008308041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001075507,0.00007944355,0.00001208825,0.2535502,0.0005989788,0.000005151002,0.00001369588,0.0001062847,0.01121443,3.619104e-7,0.001277566,0.7331311],"study_design_scores_gemma":[0.0004356919,0.00005308496,0.000001963142,0.08902126,0.002343571,0.000005228253,0.00001510195,0.005097826,0.005553281,5.537487e-7,0.8967268,0.0007455798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000173099,0.9703435,0.02628675,0.00009469729,0.0002937551,0.002014889,0.0004616189,0.0004794257,0.000008054571],"genre_scores_gemma":[0.00002079249,0.9816944,0.01693566,0.00007438114,0.0001134084,0.0002295154,0.0007425932,0.0001672109,0.00002206646],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8954493,"threshold_uncertainty_score":0.9994977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1708354402570452,"score_gpt":0.3172139957110302,"score_spread":0.1463785554539849,"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."}}