{"id":"W4379746460","doi":"10.2139/ssrn.4471750","title":"Biomonitoring of Honey Metal Pollution by Citizen Scientists","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biomonitoring; Citizen science; Pollution; Environmental science; Environmental planning; Environmental chemistry; Environmental protection; Geography; Ecology; Chemistry; Biology; Botany","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":[0.001297808,0.0001808287,0.0002340615,0.0005288299,0.0003665054,0.001228393,0.0001586002,0.0008032959,0.006270574],"category_scores_gemma":[0.003167278,0.0001000854,0.0001842668,0.0007585735,0.0002084905,0.0006197757,0.0006177112,0.0002953866,0.0009510688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361111,"about_ca_system_score_gemma":0.0004571732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194069,"about_ca_topic_score_gemma":0.003386054,"domain_scores_codex":[0.9993635,0.0002870043,0.00002516326,0.0001011322,0.0001675661,0.00005558826],"domain_scores_gemma":[0.9986972,0.0005510295,0.0001527063,0.0002008746,0.0003153225,0.00008282095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008651277,0.0004518408,0.5238093,0.000688116,0.0002165087,0.000656138,0.004570323,0.002479177,0.05662416,0.01131321,0.038126,0.3602],"study_design_scores_gemma":[0.0001800673,0.001278004,0.6274543,0.0002345474,0.0002832802,0.0009163769,0.01647121,0.02634526,0.09761734,0.03885473,0.1902849,0.00007996765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564619,0.00093188,0.007393897,0.005186478,0.0002248514,0.00007729192,0.001820823,0.0001096185,0.02779332],"genre_scores_gemma":[0.9724181,0.001097446,0.004896596,0.0004649504,0.0001397915,0.00005057324,0.0009776404,0.00003149515,0.01992341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006270574,"threshold_uncertainty_score":0.0209772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501847540242988,"score_gpt":0.2645050449242287,"score_spread":0.2494865695217988,"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."}}