{"id":"W4387233305","doi":"10.20944/preprints202309.2177.v1","title":"An Enhanced Python Based Open-SourcePIV Software","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alliance de recherche numérique du Canada; Government of Ontario; Compute Canada; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Johns Hopkins University","keywords":"Python (programming language); Computer science; Software; Computational science; Particle image velocimetry; Workstation; Computer graphics (images); Computer engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002259543,0.001587672,0.001139959,0.001417127,0.000874226,0.002221254,0.005018918,0.001057821,0.03598691],"category_scores_gemma":[0.00516273,0.001044267,0.001841142,0.001064872,0.0007134308,0.002519295,0.003487454,0.003381292,0.02564214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006906517,"about_ca_system_score_gemma":0.002997817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699516,"about_ca_topic_score_gemma":0.002142877,"domain_scores_codex":[0.998071,0.0002400152,0.0001874848,0.0003369868,0.0008615156,0.0003029676],"domain_scores_gemma":[0.9982363,0.0004545046,0.0001427523,0.0003184922,0.0006651186,0.0001827871],"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":[0.001557582,0.0008231256,0.006762635,0.002600818,0.0004629373,0.001036447,0.000888404,0.0317621,0.04575377,0.03685855,0.487862,0.3836317],"study_design_scores_gemma":[0.0004576553,0.0002357609,0.005621681,0.0003093744,0.0001249926,0.0009234246,0.0001167919,0.3351216,0.0596595,0.03070146,0.5662991,0.0004286206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005523675,0.0002580881,0.484834,0.0002985115,0.000277253,0.0005168433,0.01049133,0.4864575,0.01134267],"genre_scores_gemma":[0.06623763,0.000661308,0.6661536,0.001072655,0.0002110624,0.002865771,0.06309298,0.1716254,0.02807962],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03598691,"threshold_uncertainty_score":0.1203882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07850182260502078,"score_gpt":0.3163602419439702,"score_spread":0.2378584193389494,"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."}}