{"id":"W2912601966","doi":"10.3897/zookeys.819.23653","title":"Collembola of Canada","year":2019,"lang":"en","type":"review","venue":"ZooKeys","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre","funders":"","keywords":"Biodiversity; DNA barcoding; Barcode; Checklist; Extant taxon; Ecology; Systematics; Biology; Species richness; Sampling (signal processing); Global biodiversity; Species complex; Genetic diversity; National forest; Geography; Taxonomy (biology); Forestry; Evolutionary biology; Phylogenetic tree; Engineering; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003748351,0.0009665019,0.001068085,0.005742436,0.001646121,0.002237828,0.0009024527,0.0008141045,0.006947453],"category_scores_gemma":[0.001129272,0.0002277556,0.0003528055,0.006509923,0.0007910889,0.0008524083,0.000743089,0.001136109,0.001355707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004725334,"about_ca_system_score_gemma":0.01448121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5324636,"about_ca_topic_score_gemma":0.6618114,"domain_scores_codex":[0.9995798,0.00002434535,0.00003022293,0.00006337176,0.0002298324,0.00007231672],"domain_scores_gemma":[0.999375,0.00009857104,0.00007946516,0.00001218121,0.0003453713,0.00008938472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006144927,0.00003333571,0.0007982996,0.02031539,0.00005807728,0.0002303527,0.000306741,0.0001513539,0.001543215,0.002855822,0.03367408,0.9399719],"study_design_scores_gemma":[0.0000102656,0.00004014579,0.007499882,0.008550341,0.0001192584,0.0007784239,0.0002951524,0.00003631892,0.0003225105,0.000744627,0.9815786,0.00002457381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002954633,0.995782,0.00003973363,0.000173528,0.00009282026,0.00001145965,0.0001127408,0.000009693895,0.003482609],"genre_scores_gemma":[0.004988961,0.9926879,0.0001487619,0.0001650742,0.00005555197,0.00000848315,0.0001829318,0.000002282745,0.001759986],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4675364,"threshold_uncertainty_score":0.9405797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0656042076606448,"score_gpt":0.2412682594633562,"score_spread":0.1756640518027114,"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."}}