{"id":"W3189895198","doi":"10.1061/9780784483602.026","title":"Multisensor Inspection: Assessing the Condition of Large Diameter Pipes with 3D Digital Modelling","year":2021,"lang":"en","type":"article","venue":"Pipelines 2021","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coquitlam College","funders":"","keywords":"Lidar; Computer science; Point cloud; Marine engineering; Pipeline (software); Sonar; Pipeline transport; Remote sensing; Engineering; Artificial intelligence; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005188519,0.001072326,0.0004881667,0.002692469,0.0002669015,0.001815278,0.0009008586,0.001117952,0.002802331],"category_scores_gemma":[0.001127011,0.00069861,0.001089134,0.001360888,0.0004964605,0.001191845,0.001423609,0.0005086028,0.0009001924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834252,"about_ca_system_score_gemma":0.0008670019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009345903,"about_ca_topic_score_gemma":0.01365632,"domain_scores_codex":[0.999478,0.00005336901,0.00003049171,0.0001009669,0.0002933961,0.00004374974],"domain_scores_gemma":[0.9996912,0.0000787664,0.00006440662,0.0000512165,0.00009002494,0.00002447954],"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":[0.0002231409,0.0002250648,0.02426865,0.0005500913,0.0001068353,0.0006500912,0.0007488286,0.6166053,0.04661906,0.003019826,0.004319135,0.302664],"study_design_scores_gemma":[0.00000713405,0.00005203839,0.007293844,0.00004439421,0.00002261474,0.0002057567,0.0001677886,0.9821262,0.005624908,0.001127453,0.003279985,0.00004782106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.100837,0.0007429988,0.8846168,0.0003654346,0.00007518398,0.0002564306,0.002042519,0.00432445,0.006739176],"genre_scores_gemma":[0.726316,0.001237077,0.2663456,0.0001107694,0.00002384324,0.0001987603,0.002120833,0.0002629236,0.003384271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009345903,"threshold_uncertainty_score":0.018583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008264771644055051,"score_gpt":0.2376901122783593,"score_spread":0.2294253406343043,"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."}}