{"id":"W3199936014","doi":"10.34133/2021/9846158","title":"Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods","year":2021,"lang":"en","type":"article","venue":"Plant Phenomics","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Biotechnology and Biological Sciences Research Council; Association Nationale de la Recherche et de la Technologie; Grains Research and Development Corporation; Agence Nationale de la Recherche; University of Saskatchewan","keywords":"Benchmarking; Computer science; Reliability (semiconductor); Competition (biology); Head (geology); RGB color model; Artificial intelligence; Data science; Business; Marketing; Biology","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":[0.0009004681,0.002100963,0.0007950584,0.003115137,0.0007234925,0.001232815,0.001512374,0.001470695,0.005727938],"category_scores_gemma":[0.001688377,0.0003833872,0.001312381,0.003046931,0.0004640084,0.0009992004,0.001668356,0.0009523959,0.007273722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009748283,"about_ca_system_score_gemma":0.0007859759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559556,"about_ca_topic_score_gemma":0.02994983,"domain_scores_codex":[0.9989834,0.0001255712,0.00007893983,0.0004259555,0.0002388933,0.0001471664],"domain_scores_gemma":[0.9991758,0.0001503457,0.00006722006,0.0002601433,0.0002652901,0.00008117378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001136322,0.0007175381,0.03171659,0.002376212,0.0007055606,0.0005888505,0.0003143859,0.0172084,0.05479163,0.002282176,0.6680022,0.22016],"study_design_scores_gemma":[0.0005088881,0.0005642166,0.1720047,0.0003249381,0.0003638294,0.001308001,0.0008189144,0.08351681,0.04492865,0.004292086,0.6910927,0.0002762618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1876585,0.003307234,0.04858766,0.0006360098,0.0007897585,0.0004814993,0.7043044,0.03461523,0.01961965],"genre_scores_gemma":[0.04890356,0.0002715072,0.02778121,0.0002111925,0.00003869211,0.0001771734,0.9183531,0.0009380953,0.003325559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01559556,"threshold_uncertainty_score":0.03100955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599845548247849,"score_gpt":0.2935480262505121,"score_spread":0.2575495707680336,"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."}}