{"id":"W2754462520","doi":"10.1139/cjz-2017-0078","title":"Leeches (Annelida: Hirudinea) from the far north of Ontario: distribution, diversity, and diagnostics","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Leech Biology and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Univerza v Ljubljani; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Biology; Leech; Habitat; Ecology; Distribution (mathematics); Sampling bias; Wetland; DNA barcoding; Sampling (signal processing); Identification (biology); Geography; Sample size determination","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001078486,0.00005521054,0.0001820917,0.00002356624,0.0007128289,0.000007586087,0.0002259052,0.0000872107,0.00006445011],"category_scores_gemma":[0.0005766869,0.00003793587,0.00004382151,0.00002035462,0.0005268776,0.00003976882,0.00008004768,0.000228183,0.00000278237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025318,"about_ca_system_score_gemma":0.0007957593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2954447,"about_ca_topic_score_gemma":0.8954908,"domain_scores_codex":[0.9996002,0.00001984219,0.0001546579,0.00006605464,0.00003975752,0.0001195329],"domain_scores_gemma":[0.999028,0.0001518531,0.0002213176,0.000208492,0.0001833939,0.0002069636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001558842,0.000008981603,0.9946348,0.000001734865,0.0000800522,0.00006930917,0.0004995021,5.074877e-7,0.00001772447,0.0004693933,0.003421928,0.0007804419],"study_design_scores_gemma":[0.0004028915,0.0001115277,0.9837001,0.00001537212,0.0001574126,0.0001303148,0.00006307144,9.756724e-7,0.00007382871,0.001020524,0.01429062,0.00003336748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896339,0.0005951473,0.0001266546,0.009123531,0.0001638916,0.00005896307,0.0001727663,0.000001054395,0.0001241009],"genre_scores_gemma":[0.999082,0.0001315377,0.00008431829,0.0004333965,0.0001208604,6.535616e-7,0.00002577488,0.000002310617,0.0001191596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6000462,"threshold_uncertainty_score":0.709247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912757021869926,"score_gpt":0.235593224645692,"score_spread":0.2064656544269928,"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."}}