{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003644466,0.00007002655,0.00009617988,0.0001119176,0.00285186,0.00006681603,0.000355975,0.0000302928,0.03138208],"category_scores_gemma":[0.0001751298,0.00007089202,0.00004207026,0.0004033442,0.0001052111,0.00004401054,0.0007860371,0.0003078048,0.004952947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117539,"about_ca_system_score_gemma":0.000004108615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006034279,"about_ca_topic_score_gemma":3.91419e-8,"domain_scores_codex":[0.9990442,0.0001687722,0.0001295494,0.000252566,0.0001987355,0.0002061094],"domain_scores_gemma":[0.9993253,0.00001363709,0.00004485118,0.000346356,0.0001555793,0.000114251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002597887,0.0007268902,0.00006336954,0.0000549768,0.0001114056,0.00005498322,0.001257027,0.00004082887,0.05773145,0.02326808,0.7492569,0.1671743],"study_design_scores_gemma":[0.0004637133,0.0002910843,0.001728768,0.00000351742,0.00001773161,0.0004147629,0.000317532,0.0001016632,0.0006980851,0.0002055612,0.9956836,0.00007404636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3007869,0.0003160405,0.003718874,0.01738103,0.0002207801,0.001667348,0.0006941027,0.002803942,0.672411],"genre_scores_gemma":[0.9929421,0.00001801377,0.000173704,0.0006698256,0.00009642994,1.772288e-7,0.002135376,0.0004911969,0.003473192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6921551,"threshold_uncertainty_score":0.9984463,"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."}}