{"id":"W6930872492","doi":"10.5281/zenodo.2639774","title":"pynbody/pynbody: Version 0.47","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Python (programming language); Crash; Halo; Smoothing; Hash function; Thread (computing)","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":[0.003073606,0.00360513,0.001876511,0.002422491,0.001618257,0.00470818,0.006893083,0.001984688,0.2879003],"category_scores_gemma":[0.01094188,0.004252345,0.004167006,0.001656607,0.001172479,0.007201451,0.006395592,0.005225824,0.2900026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910599,"about_ca_system_score_gemma":0.002982181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008014223,"about_ca_topic_score_gemma":0.005035332,"domain_scores_codex":[0.9980336,0.0001687697,0.0001419625,0.0003864179,0.0009018299,0.0003675089],"domain_scores_gemma":[0.995814,0.0006101338,0.0002294549,0.001234486,0.001697039,0.0004147428],"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":[0.0005622185,0.00008585068,0.002873775,0.0005829879,0.0001174557,0.0002273302,0.0002682525,0.00121334,0.004901801,0.005294154,0.9389301,0.04494273],"study_design_scores_gemma":[0.0003128384,0.0000607424,0.004320397,0.0003143799,0.00008409474,0.0006303553,0.00008639445,0.01175961,0.02345078,0.01174448,0.9469557,0.0002803385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001646896,0.0003083127,0.06717525,0.000449176,0.0004681803,0.0001587035,0.02834347,0.880143,0.02130704],"genre_scores_gemma":[0.01544012,0.0003587144,0.0495142,0.000975355,0.0001959578,0.000484837,0.0630431,0.8340106,0.03597706],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2879003,"threshold_uncertainty_score":0.9631224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534264956889629,"score_gpt":0.2207169749630774,"score_spread":0.2053743253941811,"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."}}