{"id":"W1983343875","doi":"10.1007/s11056-009-9185-0","title":"Erratum to: Integrating advanced technologies for optimization of aerial herbicide applications","year":2009,"lang":"en","type":"erratum","venue":"New Forests","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Air Canada; Tembec; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Environmental science; Biochemical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004585139,0.0002329668,0.0003389461,0.0000242027,0.0001366363,0.00004014299,0.0003396735,0.0003584371,0.00002024449],"category_scores_gemma":[0.0001315339,0.00009040874,0.0001164567,0.0002621572,0.00002772293,0.00007248113,0.00006215743,0.0001575784,0.00000537992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004184885,"about_ca_system_score_gemma":0.00003977301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000202,"about_ca_topic_score_gemma":0.004053065,"domain_scores_codex":[0.9989511,0.00001094987,0.0002853952,0.0003417403,0.0001483616,0.0002623872],"domain_scores_gemma":[0.999461,0.00005857363,0.0002233189,0.00009607562,0.0001013611,0.0000596608],"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":[0.0001462744,0.0001418032,0.0001343162,0.00003855417,0.00004815659,0.000001391271,0.00003400158,0.004229695,0.004671177,0.0001933427,0.5173599,0.4730015],"study_design_scores_gemma":[0.0007287563,0.002564674,0.002781816,0.0009674644,0.0001281692,0.000007368777,0.0003298711,0.001872872,0.004025928,0.006503588,0.9792292,0.0008603351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2585484,0.07489056,0.09209267,0.08539559,0.1040072,0.106088,0.02437938,0.01527513,0.2393231],"genre_scores_gemma":[0.4112856,0.002534216,0.1494378,0.0007792967,0.004971009,0.003743078,0.03296451,0.00004719226,0.3942373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4721411,"threshold_uncertainty_score":0.3686761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520912200301965,"score_gpt":0.2411673074513052,"score_spread":0.2259581854482855,"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."}}