{"id":"W4377043137","doi":"10.3390/s23104799","title":"A Comparison of Multiple Odor Source Localization Algorithms","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Algorithm; Computer science; Odor; Grid; Data mining; Artificial intelligence; Mathematics","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":[0.004049422,0.001338637,0.001401697,0.00311562,0.0006619545,0.00150402,0.002192338,0.001411081,0.002493896],"category_scores_gemma":[0.01145325,0.0004072981,0.001045494,0.001898397,0.0005898842,0.002988508,0.001534632,0.00073681,0.0007124867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366795,"about_ca_system_score_gemma":0.001958257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005731445,"about_ca_topic_score_gemma":0.004132519,"domain_scores_codex":[0.9979837,0.0004548374,0.0001787429,0.0003705445,0.0008461222,0.0001661284],"domain_scores_gemma":[0.9923822,0.004515566,0.0004015121,0.0006220948,0.001871686,0.0002069438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001056199,0.0002953782,0.00842894,0.0003198563,0.0002652925,0.0000814209,0.0001084636,0.3571795,0.004057831,0.005759085,0.002436497,0.6200116],"study_design_scores_gemma":[0.0001068688,0.0002221854,0.002397592,0.00003070444,0.00005107916,0.0001462606,0.00008763597,0.9885746,0.004449453,0.002571468,0.001330346,0.00003170736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1812515,0.003057279,0.8005785,0.0007037901,0.0002864864,0.000250262,0.0003431406,0.004248261,0.009280772],"genre_scores_gemma":[0.5863553,0.001119276,0.4082771,0.0001952781,0.00008721508,0.0001640539,0.0008170459,0.0002904182,0.002694292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005731445,"threshold_uncertainty_score":0.02141565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269622856563747,"score_gpt":0.2928087743813433,"score_spread":0.2501125458157058,"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."}}