{"id":"W4389562251","doi":"10.7185/gold2023.17045","title":"How clean is our city? Let our biomonitors (honey, salmon, ...) tell us.","year":2023,"lang":"en","type":"article","venue":"","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Fishery; Biology","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":[0.001457733,0.0005522046,0.0004704929,0.0006028894,0.003741826,0.00546433,0.0005108775,0.003942908,0.02187194],"category_scores_gemma":[0.006261396,0.0003787009,0.000519467,0.0005295188,0.00819524,0.008582604,0.002298191,0.005062052,0.01170695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879324,"about_ca_system_score_gemma":0.001947917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603074,"about_ca_topic_score_gemma":0.03115164,"domain_scores_codex":[0.9992663,0.0002547055,0.0000235037,0.0001064135,0.0002261341,0.0001229694],"domain_scores_gemma":[0.9978849,0.0005232952,0.0002648615,0.000158422,0.000643437,0.0005250432],"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":[0.0002371819,0.000272989,0.029207,0.0008548931,0.0001632248,0.0007705982,0.01418609,0.0004974959,0.009209695,0.1098981,0.605059,0.2296438],"study_design_scores_gemma":[0.00001462514,0.0001661925,0.009614982,0.0005486898,0.00006213851,0.0006421806,0.02530559,0.0001917489,0.002676272,0.08712477,0.8735443,0.0001085984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02373785,0.03026179,0.008407959,0.8048306,0.01234828,0.00003986069,0.0005267604,0.0004012041,0.1194457],"genre_scores_gemma":[0.416238,0.06238964,0.01934908,0.2551966,0.004504263,0.0000823722,0.0006094183,0.0007139507,0.2409168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02187194,"threshold_uncertainty_score":0.07316899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705160109105651,"score_gpt":0.3521706641397806,"score_spread":0.2816546532292155,"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."}}