{"id":"W6967815234","doi":"10.5281/zenodo.10205100","title":"pyVISCOUS","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan; University of Alberta","funders":"","keywords":"Disk formatting; Flexibility (engineering); Readability; Usability; Context (archaeology); Sensitivity (control systems); Reliability (semiconductor)","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":[0.003430887,0.00215226,0.001196559,0.001529081,0.001080627,0.004476395,0.004395645,0.0018389,0.3875676],"category_scores_gemma":[0.0148283,0.002000853,0.001968676,0.001144898,0.001206216,0.005219192,0.005440867,0.003641676,0.2825212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289773,"about_ca_system_score_gemma":0.002285121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566623,"about_ca_topic_score_gemma":0.002432854,"domain_scores_codex":[0.9977481,0.000355226,0.0001618501,0.0004679814,0.001014758,0.0002519724],"domain_scores_gemma":[0.9957681,0.001351673,0.0002705565,0.001070563,0.001140017,0.0003991517],"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":[0.0004845452,0.00007272175,0.0006948956,0.0005042658,0.00003250461,0.0001764122,0.0002059409,0.001572945,0.002403374,0.01030373,0.9045486,0.07900008],"study_design_scores_gemma":[0.000133133,0.00005001401,0.000607903,0.0001825912,0.00001546106,0.0001811628,0.00003910795,0.005049382,0.00351353,0.007654374,0.9825028,0.00007061276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001881521,0.0003759048,0.1237268,0.001355064,0.00123368,0.0004552595,0.0366399,0.7461708,0.08816103],"genre_scores_gemma":[0.01739911,0.0005538629,0.07455233,0.001186886,0.0003536223,0.0009681029,0.08032119,0.6614847,0.1631802],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3875676,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138392885456926,"score_gpt":0.2617397641874895,"score_spread":0.2203558353329202,"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."}}