{"id":"W6931415231","doi":"10.5281/zenodo.6147206","title":"Arostrilepis rauschorum Makarikov, Galbreath & Hoberg, 2013, sp. n.","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Type locality; Microtus; Holotype; Host (biology); Arctic","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":[0.0001694379,0.000871991,0.0004294585,0.0018037,0.001676653,0.0005484246,0.0006410849,0.0007461971,0.010626],"category_scores_gemma":[0.0004458691,0.0004502759,0.0002449623,0.001016608,0.0006174695,0.001176053,0.001044523,0.0007350441,0.005758791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004875,"about_ca_system_score_gemma":0.0004122934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006234,"about_ca_topic_score_gemma":0.01497759,"domain_scores_codex":[0.9997836,0.00002699815,0.0000266501,0.00008998089,0.00004854123,0.00002431059],"domain_scores_gemma":[0.999785,0.00002824496,0.00008473872,0.00002906697,0.00005002508,0.00002291899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000741041,0.0003357342,0.05121722,0.002057618,0.0002119102,0.002937584,0.003170781,0.00133118,0.05697478,0.002849947,0.01880362,0.8593687],"study_design_scores_gemma":[0.0001864732,0.0006178223,0.6231525,0.001344108,0.0002634595,0.01627056,0.003585259,0.001344629,0.003656387,0.002229743,0.3472844,0.00006466734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.464813,0.03787464,0.006979067,0.001101375,0.0006959536,0.0008065854,0.005565559,0.001144061,0.4810198],"genre_scores_gemma":[0.9692607,0.004574921,0.004394259,0.0007278667,0.0001962162,0.0001628089,0.002302749,0.00004828451,0.01833222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.010626,"threshold_uncertainty_score":0.03554749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325763864287473,"score_gpt":0.2436459303131108,"score_spread":0.2203882916702361,"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."}}