{"id":"W6950479245","doi":"10.5281/zenodo.7409971","title":"Scrobipalpa truncata, comb. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shore; Holotype; Single specimen; Table (database)","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":[0.0001415428,0.001173317,0.0003855426,0.001857006,0.00150165,0.0005685108,0.0007115348,0.0007039218,0.01058677],"category_scores_gemma":[0.0004302809,0.0004094734,0.000274495,0.001129655,0.0005083544,0.001328097,0.00097395,0.0007075115,0.01076369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533183,"about_ca_system_score_gemma":0.0004158026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008678922,"about_ca_topic_score_gemma":0.02097068,"domain_scores_codex":[0.9997734,0.00001530704,0.00002813479,0.00008873962,0.0000666511,0.00002781814],"domain_scores_gemma":[0.9997616,0.00003220639,0.00006357077,0.00002844959,0.00008154914,0.00003265441],"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":[0.0005989497,0.0002373442,0.04320098,0.001730604,0.0002631849,0.004997043,0.002016165,0.00161562,0.04937046,0.001966274,0.04600902,0.8479944],"study_design_scores_gemma":[0.0002026063,0.00051771,0.3379381,0.001040588,0.0004220496,0.02008251,0.001372544,0.001202591,0.003778921,0.001612892,0.631754,0.00007536814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3832332,0.04535478,0.02052207,0.001448695,0.002583082,0.002100445,0.0274529,0.002094069,0.5152108],"genre_scores_gemma":[0.8382781,0.01528106,0.0185683,0.001969842,0.0005609806,0.0007534098,0.02713032,0.000204726,0.09725326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01058677,"threshold_uncertainty_score":0.03541625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678836373904799,"score_gpt":0.2713683734383309,"score_spread":0.2345800096992829,"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."}}