{"id":"W2120053394","doi":"10.1614/ws-d-13-00050.1","title":"An Imagery-Based Weed Cover Threshold Established Using Expert Knowledge","year":2014,"lang":"en","type":"article","venue":"Weed Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Weed; Cover (algebra); Weed control; Weed science; Cover crop; Agricultural engineering; Agronomy; Environmental science; Agroforestry; Biology; 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":[0.0007968163,0.0001592723,0.0001776573,0.00003968305,0.0008180078,0.0003704062,0.0009030976,0.00006775901,0.0003440682],"category_scores_gemma":[0.00008262166,0.00006627287,0.00006894163,0.001157225,0.0004655397,0.0006334571,0.0000718552,0.0001124481,0.0001396646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005377087,"about_ca_system_score_gemma":0.00007114397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006891076,"about_ca_topic_score_gemma":0.0004131898,"domain_scores_codex":[0.9983329,0.00005186046,0.000208509,0.000568198,0.0003479484,0.0004906015],"domain_scores_gemma":[0.9990798,0.0001432086,0.00008376702,0.000215018,0.0002054487,0.0002727481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008224174,0.0000922921,0.0001051519,0.000001151891,9.31719e-7,2.844099e-7,0.00005194927,0.0000827605,0.9861076,0.001150657,0.0001643052,0.01223464],"study_design_scores_gemma":[0.0008941501,0.0005530083,0.3768205,0.00004383548,0.00003147568,0.000007888068,0.000422549,0.4023237,0.08833747,0.003207518,0.1262791,0.001078804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875345,0.00008967667,0.0009837084,0.0008148112,0.0001566646,0.0003331366,0.000008895253,0.0001616143,0.009917045],"genre_scores_gemma":[0.9973305,1.270901e-7,0.001083876,0.0009999108,0.0003464989,0.00006853789,0.00001113607,0.000001509672,0.0001579029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8977702,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273793719063242,"score_gpt":0.2750555853409474,"score_spread":0.2476762134346232,"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."}}