{"id":"W6949278258","doi":"10.5281/zenodo.14180058","title":"Eilema basinota","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Period (music); Identification (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":[0.0002165732,0.0007078902,0.0005040913,0.002796735,0.003494041,0.000967993,0.0008027759,0.0005479883,0.05244281],"category_scores_gemma":[0.0006205249,0.0003105619,0.0001632001,0.002705214,0.001347602,0.001400576,0.001469701,0.0007848458,0.01087297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814134,"about_ca_system_score_gemma":0.0008056286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02495294,"about_ca_topic_score_gemma":0.05710393,"domain_scores_codex":[0.9997373,0.00003399268,0.00001871329,0.00008154404,0.00006909198,0.00005926032],"domain_scores_gemma":[0.9998327,0.0000337537,0.00003858181,0.00001694367,0.00005543105,0.00002246942],"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":[0.0004293379,0.00006543001,0.01646775,0.001000446,0.00004760947,0.001662693,0.005878548,0.0006137674,0.007547841,0.02605644,0.06806905,0.8721611],"study_design_scores_gemma":[0.00001045532,0.00002799309,0.03292456,0.0001780409,0.00002228441,0.000802974,0.001187379,0.0001102151,0.0007872288,0.001615062,0.9623201,0.00001369767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06434349,0.0215315,0.003303743,0.001075635,0.0004472619,0.0002356557,0.006392526,0.0009724917,0.9016976],"genre_scores_gemma":[0.8154964,0.008182268,0.005036327,0.001224999,0.00032242,0.0003493667,0.005842831,0.0003413878,0.163204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05244281,"threshold_uncertainty_score":0.1754387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852310106135341,"score_gpt":0.2960083062981699,"score_spread":0.2107772956846358,"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."}}