{"id":"W6930018125","doi":"10.5281/zenodo.11203512","title":"Jammy2211/PyAutoGalaxy: May 2024","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crosslight Software (Canada)","funders":"","keywords":"Code refactoring; Source code; Consistency (knowledge bases); Visualization; Documentation; Plot (graphics); Triangulation; Code (set theory); Gaussian","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009981442,0.0002452241,0.0002477316,0.0004403771,0.001595327,0.00147059,0.00159811,0.000409765,0.2712346],"category_scores_gemma":[0.001123103,0.0002672699,0.0001276472,0.0007530929,0.0009252173,0.00009145917,0.001161562,0.0007460227,0.1753711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308338,"about_ca_system_score_gemma":0.00001976287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005872827,"about_ca_topic_score_gemma":0.00001530503,"domain_scores_codex":[0.9969539,0.0006002577,0.0002467595,0.0006618142,0.0008289398,0.0007083149],"domain_scores_gemma":[0.9987131,0.00004119348,0.0001051954,0.0005696599,0.0002051268,0.0003657415],"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":[0.000002667637,0.00002884285,3.101132e-7,0.00008191857,0.00005222064,0.00002113732,0.001262084,2.582121e-7,0.00000394992,0.296816,0.6953295,0.006401112],"study_design_scores_gemma":[0.0001163131,0.00003807368,0.000007016679,0.0001583142,0.00004014091,0.000009937361,0.001181992,0.00002313536,0.000001261048,0.006459706,0.9916748,0.0002892899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000665131,0.0005699219,0.0002486637,0.002495712,0.001201159,0.0005039684,0.000586605,0.003421903,0.9909654],"genre_scores_gemma":[0.002598669,0.0005619721,0.0002347712,0.0001840503,0.001637942,7.294333e-8,0.0006897352,0.01229951,0.9817933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2963453,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070715307601808,"score_gpt":0.3205214712867474,"score_spread":0.2798143182107293,"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."}}