{"id":"W3213575025","doi":"10.7185/gold2021.4532","title":"Honey let me tell you about this city! Honey as a biomonitor for lead distribution in urban environments","year":2021,"lang":"en","type":"article","venue":"Goldschmidt2021 abstracts","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lead (geology); Distribution (mathematics); Environmental science; Computer science; Biology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002434154,0.0003890931,0.000295167,0.0004924485,0.001061389,0.001057579,0.0001665422,0.0008899125,0.0242085],"category_scores_gemma":[0.0008877584,0.00017312,0.0002950457,0.0003536851,0.0003239722,0.00073808,0.0006458354,0.001036165,0.007099268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767177,"about_ca_system_score_gemma":0.000249639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007176018,"about_ca_topic_score_gemma":0.02757259,"domain_scores_codex":[0.9998759,0.00003148248,0.00000629222,0.00001901012,0.00004872838,0.00001855527],"domain_scores_gemma":[0.9997589,0.00003429932,0.00002917032,0.00001887786,0.0001022104,0.0000565159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006073062,0.0001728404,0.07512799,0.0007897164,0.0002812413,0.001313111,0.002390145,0.0001062501,0.02419355,0.002092672,0.5624772,0.3304481],"study_design_scores_gemma":[0.00004385566,0.0004888448,0.1928618,0.0006061672,0.0001913338,0.001710619,0.008823294,0.00009971164,0.007125261,0.002642375,0.7853254,0.00008123253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3280364,0.1004682,0.006305979,0.2789052,0.04066244,0.0005191184,0.009202092,0.001148009,0.2347525],"genre_scores_gemma":[0.4287205,0.03765843,0.01067598,0.03951039,0.004756952,0.000281203,0.002066192,0.000528313,0.4758021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242085,"threshold_uncertainty_score":0.08098555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359336448765016,"score_gpt":0.2294936020615329,"score_spread":0.1959002375738828,"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."}}