{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460467,0.000154593,0.0001469348,0.001455357,0.001180163,0.0005425439,0.0003546464,0.0001965348,0.001592749],"category_scores_gemma":[0.0004198402,0.0001226186,0.0001062747,0.001687059,0.0005883603,0.0002245761,0.0003713617,0.000148562,0.0002328122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003179373,"about_ca_system_score_gemma":0.002063941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8007889,"about_ca_topic_score_gemma":0.963711,"domain_scores_codex":[0.9998245,0.00001019503,0.00001356746,0.00003261108,0.00006790422,0.00005121205],"domain_scores_gemma":[0.999639,0.0000223905,0.00009707449,0.00001697111,0.0001612238,0.00006324739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005367912,0.000007603385,0.9781846,0.00008568725,0.00001617395,0.0003830012,0.001779219,0.00004275426,0.005007726,0.0000624574,0.0005498613,0.01382726],"study_design_scores_gemma":[0.000001339152,0.00001245474,0.9973616,0.00001760313,0.000005751336,0.000240886,0.0008364131,0.00001741472,0.000106259,0.00001106566,0.001385954,0.000003283115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915394,0.001510858,0.0001970851,0.0001014281,0.000007483592,0.00004274924,0.001442894,0.00001540088,0.005142638],"genre_scores_gemma":[0.9960497,0.0009958325,0.0004866056,0.00005293996,0.00000475403,0.00002353296,0.0009093757,0.000003945092,0.001473349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992111,"threshold_uncertainty_score":0.4007686,"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."}}