{"id":"W2014380560","doi":"10.1109/ifuzzy.2013.6825435","title":"Remote sensing and analysis using autonomous mobile robot with onboard micro-spectrometer","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; Mobile robot; Computer science; Real-time computing; Terrain; Remote sensing; Fuzzy logic; Spectrometer; Embedded system; Artificial intelligence; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.00001060884,0.0001624748,0.0002428884,0.0001567592,0.00003396885,0.00004751723,0.0000639975,0.00008358128,0.00005818261],"category_scores_gemma":[0.000006608507,0.0001297135,0.00004220606,0.0004382815,0.0000681995,0.0001170867,0.00003904938,0.0001424336,0.00001162383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009837332,"about_ca_system_score_gemma":0.000001131223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110542,"about_ca_topic_score_gemma":0.00001446871,"domain_scores_codex":[0.9993083,0.000003564054,0.0001364257,0.0002092884,0.00006715055,0.0002752324],"domain_scores_gemma":[0.9996175,0.0000324151,0.00002139759,0.0002518832,0.00002651028,0.00005028468],"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":[0.000001057875,0.000001604712,0.00006695651,0.000008461298,0.0001616264,0.000004611983,0.00002284353,0.05610861,0.9138549,0.000002275584,0.000008059503,0.02975898],"study_design_scores_gemma":[0.00007812448,0.00001619789,0.0001190926,0.000006014998,0.00009103755,0.00002045964,0.00008995643,0.40928,0.5898736,0.000202166,0.00004486269,0.0001784979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7586348,0.0001020962,0.2399283,0.00001691799,0.000009529163,0.0001000093,7.089898e-7,0.000783853,0.0004238348],"genre_scores_gemma":[0.5458974,0.00001424505,0.4539925,0.00001315434,0.00000703334,4.697111e-7,0.000001176833,0.00001858427,0.00005546372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3531714,"threshold_uncertainty_score":0.5289561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007204565423083658,"score_gpt":0.2027130635755447,"score_spread":0.195508498152461,"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."}}