{"id":"W4387223132","doi":"10.1016/j.tplants.2023.09.010","title":"Response to Colbach et al.","year":2023,"lang":"en","type":"letter","venue":"Trends in Plant Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Scopus; Rebuttal; Competition (biology); Weed; Biology; Resource (disambiguation); Yield (engineering); Weed science; Parsing; Crop; Natural resource economics; Agroforestry; Agronomy; Computer science; Political science; Ecology; Economics; MEDLINE; Artificial intelligence","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":[0.001473215,0.0001903865,0.0002324228,0.0002157512,0.0002170092,0.0001525346,0.001137844,0.0001605123,0.0002292428],"category_scores_gemma":[0.0001179709,0.00007652876,0.00006165262,0.003283264,0.0001727008,0.000100069,0.0001936757,0.0006233329,0.0005735063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008004905,"about_ca_system_score_gemma":0.000042882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584075,"about_ca_topic_score_gemma":0.002449322,"domain_scores_codex":[0.9977186,0.0001090174,0.0002448464,0.0007155315,0.000611971,0.0006000217],"domain_scores_gemma":[0.9988831,0.000739629,0.00007394981,0.0001546423,0.00004216706,0.0001064728],"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":[0.00003357456,0.000009343459,0.00003429854,6.250536e-7,0.000001261062,0.00006344307,0.00003898053,0.000004817247,0.09812245,0.00007387435,0.8916886,0.009928721],"study_design_scores_gemma":[0.00005046702,0.00008833126,0.09432174,0.00002381651,0.000002811867,0.000009028668,0.0000156578,0.00003802917,0.00006633836,0.0001784632,0.9050022,0.0002031154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03282167,0.00001404435,6.923232e-7,0.962835,0.000207957,0.0001416615,0.000665591,0.0001293482,0.00318401],"genre_scores_gemma":[0.02469554,0.000006727679,0.00007831637,0.9624957,0.000319817,0.0001708552,0.0004167862,0.000002200533,0.01181401],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09805611,"threshold_uncertainty_score":0.7371455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380336567342201,"score_gpt":0.2911513119916526,"score_spread":0.2473479463182306,"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."}}