{"id":"W7079646051","doi":"10.5281/zenodo.17023247","title":"Laelius pedatus","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Nearctic ecozone; Distribution (mathematics); Period (music); Kingdom","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":[0.0005199202,0.00007447046,0.00007002118,0.0001797102,0.004373297,0.0009103979,0.001466332,0.00001775459,0.003763114],"category_scores_gemma":[0.0001185585,0.00008358867,0.00003181671,0.0006379344,0.00006382965,0.0003844542,0.002108204,0.000263259,0.002096529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009887291,"about_ca_system_score_gemma":0.000006843734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006105613,"about_ca_topic_score_gemma":3.153466e-8,"domain_scores_codex":[0.9987011,0.0002564371,0.0001337978,0.0003304888,0.0003299193,0.0002482654],"domain_scores_gemma":[0.9993025,0.00000947555,0.00006961512,0.0003834175,0.000150934,0.00008407605],"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":[0.0000115803,0.00007941906,0.000002092274,0.00001551311,0.00001157348,0.00001760951,0.001111464,0.0001145824,0.001753128,0.01284558,0.1247825,0.859255],"study_design_scores_gemma":[0.0002274317,0.0001145311,0.00006891325,0.00000344559,0.00000256028,0.0006470265,0.0001838362,0.005355913,0.000352657,0.0009025296,0.9920274,0.0001137324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01808648,0.0004434157,0.5069728,0.004478116,0.001395278,0.0004927421,0.0001070649,0.005244387,0.4627798],"genre_scores_gemma":[0.9884044,0.00002450917,0.006726728,0.0004030663,0.0001649347,7.676618e-8,0.0003599381,0.0006819273,0.003234451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703179,"threshold_uncertainty_score":0.9986805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531358075931073,"score_gpt":0.2290154967668329,"score_spread":0.2037019160075222,"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."}}