{"id":"W4296947170","doi":"10.5281/zenodo.7109080","title":"Cat's Eye Nebula visualized in 3D","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nebula; Geology; Optometry; Computer science; Medicine; Computer vision","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":[0.0003087055,0.0006743927,0.0003717402,0.001397809,0.0007341026,0.0027362,0.0008345915,0.001080481,0.02471545],"category_scores_gemma":[0.0006665568,0.0004913567,0.0009870026,0.0007868216,0.0005589315,0.001044403,0.001924595,0.001705173,0.004020097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007558989,"about_ca_system_score_gemma":0.001144985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825633,"about_ca_topic_score_gemma":0.02765729,"domain_scores_codex":[0.9997784,0.00002105443,0.000009389463,0.00004053516,0.0001159251,0.00003456176],"domain_scores_gemma":[0.9997024,0.00006979725,0.00001669563,0.0000566078,0.00008597843,0.0000686164],"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":[0.001110124,0.0005128432,0.02446444,0.00198402,0.000564325,0.006540834,0.00672389,0.132166,0.1251742,0.1050016,0.3711519,0.2246061],"study_design_scores_gemma":[0.0002490043,0.0001555593,0.02247281,0.0005327705,0.0001237467,0.00249682,0.00203195,0.3705851,0.02289503,0.02289372,0.5552007,0.0003628309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.18594,0.002774136,0.5008492,0.007023629,0.002787441,0.0008698263,0.04380604,0.03835476,0.217595],"genre_scores_gemma":[0.610999,0.002686881,0.3257416,0.00123057,0.0002512953,0.0005153802,0.0187037,0.00534571,0.03452576],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02471545,"threshold_uncertainty_score":0.08268142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664908374969043,"score_gpt":0.2489449261176061,"score_spread":0.2322958423679157,"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."}}