{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003641527,0.00007872932,0.0001061903,0.0002269665,0.0006574768,0.00006427937,0.0005712975,0.00004502255,0.02181133],"category_scores_gemma":[0.0001729237,0.00009334153,0.00002315578,0.0005450609,0.000072287,0.00005679481,0.0007121821,0.0003350502,0.001672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000191697,"about_ca_system_score_gemma":0.000001855664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001207519,"about_ca_topic_score_gemma":3.478004e-7,"domain_scores_codex":[0.9990444,0.0001311798,0.0001558169,0.0001781628,0.0002135043,0.0002769751],"domain_scores_gemma":[0.9996306,0.00001009407,0.00001880014,0.0002161326,0.00004116855,0.00008320131],"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":[0.00007656613,0.0002685226,0.00002057589,0.000118546,0.00006611452,0.0002030765,0.002523537,0.003075063,0.006197795,0.02581888,0.3647871,0.5968442],"study_design_scores_gemma":[0.0004137908,0.00007301669,0.0001465393,0.00000508495,0.000002875152,0.00003567082,0.0003427642,0.006989461,0.0001676869,0.000219583,0.9915028,0.0001007244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4299419,0.001063656,0.009132015,0.002260731,0.0006586458,0.001072577,0.0002720534,0.009572905,0.5460255],"genre_scores_gemma":[0.9974761,0.0001635258,0.000218167,0.0001435152,0.00004493188,1.411464e-7,0.0004515908,0.0008395673,0.0006624694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6267157,"threshold_uncertainty_score":0.9991053,"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."}}