{"id":"W4407737480","doi":"10.1109/whispers65427.2024.10876526","title":"UAV-Based Multispectral and RGB Imaging Techniques for Dry Bean Phenotyping","year":2024,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Multispectral image; RGB color model; Computer science; Remote sensing; Artificial intelligence; Optical imaging; Computer vision; Geology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008051109,0.0001499502,0.0001594412,0.0001432704,0.00009130543,0.0001354251,0.00009394614,0.00005673637,0.0008080759],"category_scores_gemma":[0.00004537354,0.0001278232,0.00009773617,0.0002114478,0.00005446037,0.0001298155,0.00002430956,0.000124996,0.00000501915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006513151,"about_ca_system_score_gemma":0.00003321527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008773763,"about_ca_topic_score_gemma":0.00001098185,"domain_scores_codex":[0.9992111,0.000002696083,0.0001509478,0.0003145428,0.0000727575,0.0002479377],"domain_scores_gemma":[0.9995809,0.0001709836,0.00002153822,0.0001429845,0.00002479695,0.00005880796],"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":[0.00004243394,0.0000838178,0.005794063,0.001262243,0.0001868995,0.00001898921,0.0001849204,0.000003036025,0.8967046,0.007718354,0.004075155,0.08392548],"study_design_scores_gemma":[0.0001583463,0.00000881452,0.00002326668,0.00005288683,0.00008359167,0.000003312073,0.000231523,0.03568973,0.9526173,0.001344277,0.009591993,0.000194893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04103597,0.01161446,0.836938,0.00215246,0.0001321141,0.0002635732,0.00007825603,0.003022782,0.1047624],"genre_scores_gemma":[0.9683562,0.00002666328,0.02706282,0.0002299722,0.0002142441,0.00003999369,0.00002066947,0.00003249638,0.00401695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9273202,"threshold_uncertainty_score":0.8847864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133121102030149,"score_gpt":0.2955400683898649,"score_spread":0.2842088573695634,"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."}}