{"id":"W2118875090","doi":"10.1061/9780784479360.117","title":"Better Data Equals Better Decisions: New Developments in Multi-Sensor Condition Assessment Technologies","year":2015,"lang":"en","type":"article","venue":"Pipelines 2015","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Marine engineering; Environmental science; Software deployment; Lidar; Computer science; Civil engineering; Hydrology (agriculture); Geology; Engineering; Remote sensing; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008710038,0.002039938,0.002113787,0.003761624,0.0005511842,0.006393299,0.003192302,0.002805548,0.006335114],"category_scores_gemma":[0.02010559,0.000960395,0.001117143,0.003060493,0.00256811,0.01480359,0.003366417,0.004102888,0.002570534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179572,"about_ca_system_score_gemma":0.00107686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946068,"about_ca_topic_score_gemma":0.00159274,"domain_scores_codex":[0.9943565,0.001662981,0.0002928144,0.001288721,0.002234784,0.0001643195],"domain_scores_gemma":[0.9771193,0.01457916,0.001503026,0.002878794,0.003232487,0.0006872627],"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":[0.0002464326,0.0002902157,0.003563971,0.0006643998,0.0002343833,0.0001469784,0.0005831455,0.02772172,0.004884732,0.07134196,0.01107936,0.8792427],"study_design_scores_gemma":[0.0001263846,0.0005451606,0.00519718,0.0009850762,0.0001842952,0.0004956205,0.000886426,0.4532526,0.007664924,0.3742202,0.1559803,0.0004619121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007490293,0.02762444,0.931198,0.008792147,0.001136456,0.0001812296,0.0004995924,0.002800098,0.02027775],"genre_scores_gemma":[0.1933818,0.01867748,0.7730703,0.003003231,0.002657612,0.0002935063,0.0007509488,0.0004997058,0.007665291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008710038,"threshold_uncertainty_score":0.04606366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606081935168461,"score_gpt":0.3528992888524845,"score_spread":0.1922910953356384,"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."}}