{"id":"W2315269861","doi":"10.5660/wts.2015.4.2.85","title":"The Weed Flora of Korean Mulberry Fields","year":2015,"lang":"en","type":"article","venue":"Weed & Turfgrass Science","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed; Chenopodium; Biology; Digitaria sanguinalis; Botany; Echinochloa; Horticulture; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961431,0.00007730164,0.0001104321,0.0000103163,0.0006126353,0.00004814359,0.0005615184,0.00004903742,0.00002457958],"category_scores_gemma":[0.0003580539,0.00002346171,0.00004219711,0.0006776167,0.0009146191,0.0001544211,0.0001540553,0.00009130255,0.00002976648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001609356,"about_ca_system_score_gemma":0.00004499909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008866707,"about_ca_topic_score_gemma":0.004028824,"domain_scores_codex":[0.9990391,0.0000441082,0.0001719392,0.0001996642,0.000289666,0.0002555812],"domain_scores_gemma":[0.9991404,0.0003277283,0.0000929306,0.00008147959,0.0002667938,0.00009066036],"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":[0.0001285178,0.0002130005,0.2053588,0.000006997457,0.00004431887,0.000007252226,0.001617093,0.0000491299,0.6246864,0.02949692,0.02753298,0.1108585],"study_design_scores_gemma":[0.0001404229,0.0002416419,0.9431599,0.000007431671,0.000008047778,0.000003897764,0.002429967,0.0001905288,0.006100717,0.004919467,0.04266436,0.0001336591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98343,0.0001693761,0.000004315072,0.006560801,0.000359328,0.000133093,0.000003225255,0.00003095026,0.009308917],"genre_scores_gemma":[0.998292,0.000006219138,0.00005204855,0.0004278805,0.00007029605,0.00002623417,0.000001442523,2.672367e-7,0.001123637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.737801,"threshold_uncertainty_score":0.4711958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04468480086083457,"score_gpt":0.2443273767211731,"score_spread":0.1996425758603385,"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."}}