{"id":"W3157697776","doi":"10.11158/saa.26.5.4","title":"&lt;p&gt;&lt;strong&gt;Checklist of oribatid mites (Acari: Oribatida) from two contrasting boreal fens: an update on oribatid mites of Canadian peatlands&lt;/strong&gt;&lt;/p&gt;","year":2021,"lang":"en","type":"article","venue":"Systematic and Applied Acarology","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Peat; Oribatida; Biology; Species richness; Ecology; Boreal; Mite; Sphagnum; Fauna; Carex; Biodiversity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009047569,0.000748571,0.002250768,0.0001860354,0.0004924655,0.0001363249,0.0007721853,0.0004841545,0.0003847139],"category_scores_gemma":[0.0004252215,0.0003953023,0.0002699455,0.0008650775,0.0005464465,0.000155822,0.0002182169,0.0003775935,0.00002955488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106424,"about_ca_system_score_gemma":0.0001572789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521819,"about_ca_topic_score_gemma":0.1374899,"domain_scores_codex":[0.9947447,0.0005390307,0.001676982,0.001157603,0.0007727682,0.001108947],"domain_scores_gemma":[0.9958554,0.001708523,0.00106552,0.0004638099,0.0003900569,0.0005167093],"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":[0.0005538261,0.0007645083,0.07235163,0.004085721,0.002009875,0.0001247719,0.004336011,0.0001363142,0.7204832,0.1841634,0.005735548,0.005255168],"study_design_scores_gemma":[0.0141995,0.006897821,0.8109043,0.00823548,0.004089181,0.0003960587,0.03638606,0.003329889,0.0644044,0.01102329,0.03341981,0.006714226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789852,0.001631698,0.00001801869,0.0009698701,0.0003305827,0.001183092,0.000942709,0.00008906196,0.01584978],"genre_scores_gemma":[0.9962674,0.0001209094,0.0007872334,0.0002733342,0.0007700931,0.0001283633,0.001372852,0.00001601711,0.0002637639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7385526,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661287169474777,"score_gpt":0.2132149074636772,"score_spread":0.1966020357689294,"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."}}