{"id":"W2023884096","doi":"10.1007/s11119-009-9126-0","title":"Discrimination of corn, grasses and dicot weeds by their UV-induced fluorescence spectral signature","year":2009,"lang":"en","type":"article","venue":"Precision Agriculture","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Agriculture and Agri-Food Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weed; Setaria; Context (archaeology); Agronomy; Weed control; Biology; Fluorescence; Foxtail; Spectral signature; Field corn; Hybrid; Crop; Horticulture; Zea mays; Remote sensing; Physics","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":[0.00008808419,0.0001695582,0.0002022381,0.00001310105,0.0001589212,0.00006827791,0.0001732181,0.0001013118,0.00008977309],"category_scores_gemma":[0.00002603394,0.00005194955,0.00006024672,0.0003397186,0.00002707498,0.000197604,0.00004892522,0.0001084035,0.000003801051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007910923,"about_ca_system_score_gemma":0.000001109083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001002355,"about_ca_topic_score_gemma":0.00003880476,"domain_scores_codex":[0.9990931,0.00004513033,0.0002068061,0.000258363,0.0002406044,0.0001559712],"domain_scores_gemma":[0.9995782,0.00007826284,0.0001422047,0.00004370655,0.0001018905,0.00005567369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002278512,0.00009996017,0.00315812,0.000007043085,0.00000986229,4.948347e-7,0.0001748481,2.248541e-7,0.8952206,0.0002896345,0.009709075,0.09130733],"study_design_scores_gemma":[0.0001632256,0.0002410864,0.9259472,0.00006161595,0.00002130705,0.000002305752,0.0006957717,0.00001868297,0.06931406,0.0005956217,0.002752396,0.0001867149],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962491,0.0002374131,0.00002265695,0.002223246,0.0000720757,0.0002338064,0.0000637282,0.00004462112,0.0008532907],"genre_scores_gemma":[0.9987292,0.0003268806,0.00003795307,0.0001828225,0.0000934222,0.000005275684,0.0001390573,6.035974e-7,0.0004847303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9227891,"threshold_uncertainty_score":0.2118441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451437887618764,"score_gpt":0.2169488059023336,"score_spread":0.2024344270261459,"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."}}