{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001262145,0.00005537849,0.0001202066,0.00001214452,0.00009233953,0.00001389379,0.00009475759,0.00004342241,0.0001084637],"category_scores_gemma":[0.0001001776,0.00002097809,0.00005277763,0.0004302813,0.00003598887,0.00002290115,0.00002777702,0.00005359026,0.0001398131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007085687,"about_ca_system_score_gemma":0.000003302009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004523706,"about_ca_topic_score_gemma":0.0002811177,"domain_scores_codex":[0.9992832,0.00006436835,0.0001299137,0.0001155607,0.0002000908,0.0002068516],"domain_scores_gemma":[0.9996399,0.000175209,0.00004099628,0.00003167378,0.00005555856,0.00005663641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009535912,0.0001619452,0.07815418,0.00001764784,0.00002914843,0.000006419703,0.0008786688,0.005139829,0.5245343,0.00006058426,0.003626181,0.3872958],"study_design_scores_gemma":[0.0004900672,0.0005680734,0.09132546,0.0000247906,0.000009415941,0.000001970248,0.004298491,0.7493376,0.1319981,0.0001882828,0.02151821,0.0002394991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999091,0.00003432038,0.00004152058,0.0002844644,0.00003449709,0.0001144808,0.00001403779,0.00008889988,0.0002967642],"genre_scores_gemma":[0.9990029,0.00001129555,0.00001615872,0.00002237363,0.00009319208,0.000005016876,0.00004735263,6.55002e-7,0.0008010448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7441978,"threshold_uncertainty_score":0.1797062,"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."}}