{"id":"W3206605373","doi":"10.1109/igarss47720.2021.9555063","title":"A Band Grouping Based Approach for Phenotype-Class Mapping of Tree Genotypes Using Spectro-Temporal Information in Hyperspectral Time-Series UAV Data","year":2021,"lang":"en","type":"article","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hyperspectral imaging; Tree (set theory); Computer science; Redundancy (engineering); Remote sensing; Time series; Artificial intelligence; Data mining; Pattern recognition (psychology); Mathematics; Geography; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003480177,0.0006192679,0.0004683312,0.002010801,0.0002731586,0.0003843265,0.000512193,0.0003959791,0.0009121626],"category_scores_gemma":[0.0006025413,0.0001369872,0.0006389545,0.001787283,0.0002080802,0.000520301,0.0003773354,0.0003727482,0.0005833911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029126,"about_ca_system_score_gemma":0.000293339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132053,"about_ca_topic_score_gemma":0.00308232,"domain_scores_codex":[0.9997768,0.00003555436,0.00001251933,0.00008713016,0.0000598492,0.00002820405],"domain_scores_gemma":[0.9997577,0.00004297321,0.00004756274,0.00005440395,0.00007859702,0.00001886603],"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":[0.0002911673,0.0003402344,0.005863757,0.0001227499,0.0001022482,0.0001477121,0.0002730952,0.04340368,0.1354609,0.001934205,0.002246837,0.8098134],"study_design_scores_gemma":[0.00002317401,0.0001880052,0.02517569,0.00002043876,0.0001152348,0.0003161409,0.0002374988,0.927453,0.03732029,0.003552045,0.005544217,0.00005435331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09948687,0.0002507704,0.8972316,0.00007737532,0.00004851255,0.00008069082,0.0003269021,0.0011253,0.001372019],"genre_scores_gemma":[0.3127065,0.0002146631,0.6833013,0.00005354298,0.00005320494,0.0001319231,0.001177894,0.0001355019,0.002225443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002132053,"threshold_uncertainty_score":0.004239321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514621272331047,"score_gpt":0.2205557188974004,"score_spread":0.19540950617409,"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."}}