{"id":"W6911080206","doi":"10.5281/zenodo.10276404","title":"pynbody/pynbody: Version 1.5.2","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Python (programming language); Software; Error detection and correction; Redundancy (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003093547,0.002878839,0.001847059,0.001742898,0.001887302,0.004391415,0.004395171,0.00204826,0.2785635],"category_scores_gemma":[0.01086116,0.002362647,0.002082139,0.001501934,0.001500503,0.007330669,0.007853035,0.005531082,0.3971635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300859,"about_ca_system_score_gemma":0.002857185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005043047,"about_ca_topic_score_gemma":0.003663637,"domain_scores_codex":[0.9971801,0.0003466772,0.0002190502,0.0005737914,0.00128329,0.0003971086],"domain_scores_gemma":[0.9968707,0.0005047793,0.0001630793,0.001029523,0.001023696,0.0004082684],"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":[0.0001621906,0.00002337178,0.0003029931,0.0003446002,0.00002608788,0.0000599237,0.0001317043,0.0002961609,0.001878514,0.005057852,0.9663384,0.02537832],"study_design_scores_gemma":[0.00004846383,0.00001014474,0.0004808363,0.0001113462,0.00001844773,0.000182515,0.00002580622,0.001659787,0.005858473,0.006609378,0.9848821,0.0001127257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009700144,0.0002542467,0.1076326,0.001108742,0.001765968,0.0001206881,0.06201847,0.7844712,0.04165811],"genre_scores_gemma":[0.008751642,0.0003198645,0.03859514,0.001081514,0.0002676103,0.0004260069,0.08400383,0.8025593,0.06399515],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2785635,"threshold_uncertainty_score":0.9318877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387614860514187,"score_gpt":0.253769943510425,"score_spread":0.2198937949052831,"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."}}