{"id":"W4391364325","doi":"10.1016/j.inffus.2024.102266","title":"Vision Fourier transformer empowered multi-modal imaging system for ethane leakage detection","year":2024,"lang":"en","type":"article","venue":"Information Fusion","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"IntelliView Technologies (Canada); Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leakage (economics); Modal; Computer science; Transformer; Fourier transform; Computer vision; Artificial intelligence; Computer security; Real-time computing; Materials science; Electrical engineering; Engineering; Physics; Voltage; Economics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003174564,0.0004133358,0.000359885,0.0004362687,0.0002367318,0.0004485191,0.0006205043,0.0006485871,0.003307483],"category_scores_gemma":[0.0002534773,0.0002039932,0.0002660801,0.0003057594,0.0002055722,0.0009982469,0.0006206213,0.0004264645,0.0009211001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719637,"about_ca_system_score_gemma":0.0003653529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003529401,"about_ca_topic_score_gemma":0.0008848685,"domain_scores_codex":[0.9997789,0.00002484499,0.000009038947,0.00006128813,0.00009965583,0.00002628958],"domain_scores_gemma":[0.9998605,0.0000249273,0.00002789597,0.00001606632,0.00005729102,0.00001321011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000277896,0.00009611139,0.0007271275,0.000143035,0.00002619648,0.00009700369,0.00006156364,0.001223299,0.9154535,0.001551483,0.001939354,0.07840349],"study_design_scores_gemma":[0.0000382006,0.0003745585,0.002063392,0.00002077489,0.00005730964,0.0006632364,0.00005235753,0.1257492,0.8614388,0.0009129413,0.008564545,0.00006476715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2295584,0.001249081,0.7518834,0.0007125341,0.0003256506,0.0001609252,0.0005027326,0.003084602,0.01252263],"genre_scores_gemma":[0.763231,0.0006384728,0.2234749,0.0005591558,0.0000861681,0.0001290588,0.0004312816,0.0001060808,0.01134392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003307483,"threshold_uncertainty_score":0.01106465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005672938616894842,"score_gpt":0.2347568637245455,"score_spread":0.2290839251076507,"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."}}