{"id":"W2952272889","doi":"10.1002/edn3.17","title":"High‐resolution biomonitoring of plant pathogens and plant species using metabarcoding of pollen pellet contents collected from a honey bee hive","year":2019,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Research Committee, Aristotle University of Thessaloniki; Canadian Food Inspection Agency","keywords":"Biology; Pollen; Phytophthora; Pythium; Quarantine; Botany; Invasive species; Ecology","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":[0.00004186951,0.0001103861,0.0002459431,0.00001273619,0.00009766264,0.000008199559,0.00006981638,0.00004120016,0.0001455204],"category_scores_gemma":[0.000005288414,0.00005096592,0.00004892148,0.00005403977,0.00007593742,0.00005275106,0.0001165502,0.00004054492,0.000004718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690279,"about_ca_system_score_gemma":0.000001029729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661196,"about_ca_topic_score_gemma":0.0001398984,"domain_scores_codex":[0.9993058,0.00003186721,0.0001773222,0.0001770139,0.0001598851,0.0001481061],"domain_scores_gemma":[0.9997282,0.00009389158,0.0001231344,0.00001569716,0.000002706599,0.00003638886],"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":[0.00007116194,0.00004073777,0.129291,0.000003527235,0.00004096566,0.000003016399,0.0001418059,0.000001609215,0.8702493,0.00001160196,0.00002103548,0.0001241952],"study_design_scores_gemma":[0.0002414857,0.0001292723,0.7523633,0.00004615997,0.00002674338,0.000003027889,0.001303167,0.00009551807,0.2454371,0.00001119926,0.0002446697,0.00009834215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915606,0.0005700206,5.698322e-7,0.00002063639,0.00005850077,0.0001383913,0.00759926,0.000007383162,0.00004468832],"genre_scores_gemma":[0.9992033,0.0003757186,0.00009614918,0.000005910022,0.00006641438,0.000001254286,0.0001700088,9.467928e-7,0.00008032399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6248122,"threshold_uncertainty_score":0.207833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556756965370622,"score_gpt":0.1741484792313419,"score_spread":0.1385809095776356,"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."}}