{"id":"W4415833872","doi":"10.22541/au.176222375.54636464/v1","title":"Improving Crop Residue Biomass Estimation through Ensemble Modeling and Optimized Feature Selection Using UAV Multispectral Imagery","year":2025,"lang":"","type":"article","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multispectral image; Crop residue; Residue (chemistry); Biomass (ecology); Crop yield; Feature selection; Precision agriculture; Agriculture","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":[0.0006023524,0.0005482051,0.0005294512,0.0005252976,0.0001779289,0.0003987926,0.0003514909,0.0002957044,0.000284842],"category_scores_gemma":[0.0009089148,0.000183988,0.0005842358,0.0004493439,0.00009379445,0.0005915767,0.0002880295,0.0003791866,0.0001245605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396407,"about_ca_system_score_gemma":0.0003326626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007458486,"about_ca_topic_score_gemma":0.008328832,"domain_scores_codex":[0.9998651,0.00003627056,0.000007116173,0.00003776062,0.00003200439,0.0000216699],"domain_scores_gemma":[0.9997053,0.0001320774,0.00004187246,0.00003389945,0.00007633621,0.00001048593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007062552,0.00009123067,0.009920582,0.00002438966,0.00009818595,0.00006166992,0.00004603648,0.8375943,0.01414148,0.0002618642,0.0004367444,0.1372528],"study_design_scores_gemma":[8.344779e-7,0.00001045541,0.001080547,0.000001015249,0.000005674309,0.000005223571,0.000003606215,0.9979618,0.0008077393,0.00006958927,0.00005092318,0.000002539192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.496362,0.000263827,0.501708,0.00007829293,0.00002461323,0.00002221183,0.0001516492,0.0006969813,0.0006924489],"genre_scores_gemma":[0.9374778,0.0001120054,0.0615778,0.00001498733,0.000009359031,0.00002519239,0.0002232391,0.00002709076,0.0005326008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007458486,"threshold_uncertainty_score":0.01483011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176595880831133,"score_gpt":0.2518038813236457,"score_spread":0.2400379225153344,"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."}}