{"id":"W6894099942","doi":"10.5281/zenodo.6533054","title":"Pachystilicus hanhami","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Leech Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Seta; Margin (machine learning); South carolina; Type (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005765446,0.0005126452,0.0002175112,0.001147996,0.001174225,0.0003182285,0.00036377,0.0002226383,0.0246802],"category_scores_gemma":[0.000199096,0.0002165693,0.00009930195,0.0009805771,0.0004259609,0.0009176622,0.0005700671,0.0004862452,0.005273436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004456681,"about_ca_system_score_gemma":0.0004819476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225522,"about_ca_topic_score_gemma":0.02470705,"domain_scores_codex":[0.9999161,0.000005348074,0.000005165524,0.00002400434,0.00003326881,0.00001616162],"domain_scores_gemma":[0.999931,0.000008618163,0.00002180781,0.000006804134,0.00002041576,0.00001142738],"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":[0.0003229604,0.0001223625,0.02063318,0.001020749,0.00004641896,0.003445225,0.003112727,0.0006358746,0.01652441,0.009171675,0.06885576,0.8761085],"study_design_scores_gemma":[0.00005329794,0.0003860655,0.3060851,0.0004680395,0.0001287336,0.01364732,0.00325918,0.001486496,0.007568583,0.003468907,0.6633917,0.00005659124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2342874,0.008099478,0.004466473,0.0004588714,0.0008971916,0.0003799326,0.002110139,0.0005825225,0.7487179],"genre_scores_gemma":[0.9187784,0.004432874,0.005805113,0.0004880702,0.0005142498,0.0001499304,0.002167042,0.00007168108,0.06759273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0246802,"threshold_uncertainty_score":0.08256346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498787287604155,"score_gpt":0.2633281122302347,"score_spread":0.2283402393541931,"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."}}