{"id":"W2078372531","doi":"10.1115/ipc2002-27320","title":"A Satellite-Based Mechanical Damage Management Solution","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Process (computing); Computer science; Pipeline (software); Satellite imagery; Digitization; Hazard; Geomatics; Satellite; Remote sensing; Systems engineering; Telecommunications; Engineering; Geology","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":[0.0002318955,0.0004863536,0.0002894309,0.0007564491,0.0003792271,0.0007086729,0.0007679207,0.0007935797,0.0111938],"category_scores_gemma":[0.000410856,0.0001476626,0.0002466179,0.0006929137,0.0001700084,0.0006149447,0.0006614818,0.0003290495,0.004405451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564873,"about_ca_system_score_gemma":0.0005601582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246067,"about_ca_topic_score_gemma":0.004308045,"domain_scores_codex":[0.9997297,0.00002460451,0.000008710316,0.00004488789,0.0001581284,0.00003397913],"domain_scores_gemma":[0.9997881,0.00001430544,0.00001878197,0.00004190265,0.0001141095,0.00002278025],"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":[0.0003406101,0.0002819468,0.00243188,0.0002170329,0.0000562964,0.0002962907,0.0002709388,0.02936551,0.1085928,0.006535298,0.04181696,0.8097944],"study_design_scores_gemma":[0.0003308806,0.001286219,0.01067441,0.00008672479,0.0001537056,0.001069062,0.0005996191,0.5715822,0.1245276,0.006921515,0.2826792,0.00008897467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1113209,0.0008032467,0.7721322,0.001436456,0.0003326809,0.0007576732,0.001767764,0.02749254,0.08395662],"genre_scores_gemma":[0.4972858,0.0005929406,0.4206913,0.0005319918,0.0001536062,0.0004095196,0.003143399,0.0002776847,0.07691383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111938,"threshold_uncertainty_score":0.03744704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05893470142991031,"score_gpt":0.2599890651114303,"score_spread":0.20105436368152,"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."}}