{"id":"W4404020234","doi":"10.3390/agriculture14111969","title":"Application of a Multi-Spectral UAV Imagery in Germplasm Characterization: Prediction of Forage Biomass and Growth Patterns of Cicer Milkvetch (Astragalus cicer L.) Populations","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Cattlemen's Association; Ministry of Agriculture - Saskatchewan","keywords":"Germplasm; Forage; Biomass (ecology); Astragalus; Biology; Agronomy; Fabaceae; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009444261,0.0001547194,0.0002008,0.00006917879,0.00003158403,0.00001765979,0.00009815758,0.0001604344,0.00003949586],"category_scores_gemma":[0.00001433985,0.0001054525,0.00006641822,0.000623874,0.00007359854,0.0002973107,0.00005599688,0.000139102,0.000004726075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007172182,"about_ca_system_score_gemma":0.00000626974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006943766,"about_ca_topic_score_gemma":0.0003105862,"domain_scores_codex":[0.9988448,0.00004022909,0.0004054556,0.0003111826,0.0002516844,0.0001466675],"domain_scores_gemma":[0.9995676,0.00002357094,0.0001831795,0.0001398349,0.00004178244,0.00004407524],"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":[0.000005818044,0.00009092402,0.1899592,0.0001372947,0.00001403717,0.000003019411,0.0009361672,0.0001225261,0.8072571,0.0001281216,0.0001795569,0.001166169],"study_design_scores_gemma":[0.0001823389,0.00003162976,0.9666442,0.000118545,0.00003332955,0.00003015149,0.00008676246,0.003109033,0.02941926,0.00006506153,0.0001780421,0.0001016542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938213,0.00007748308,0.004887143,0.000232467,0.0001490182,0.000399253,0.0002425651,0.00003701145,0.0001537305],"genre_scores_gemma":[0.9981127,0.00004473701,0.001405512,0.000009364804,0.00005371973,0.000007591957,0.0002177971,0.00001012446,0.0001384394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7778379,"threshold_uncertainty_score":0.4300227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062296730906631,"score_gpt":0.2161962020392917,"score_spread":0.2071339053083851,"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."}}