{"id":"W4317566926","doi":"10.21105/joss.03736","title":"PIVC: A C/C++ Program for Particle Image VelocimetryVector Computation","year":2023,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Particle tracking velocimetry; Computation; Computer science; Velocimetry; Computer graphics (images); Artificial intelligence; Physics; Algorithm; Optics; Mechanics","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":[0.001803804,0.002441392,0.001382562,0.001428827,0.0009213462,0.001791176,0.004620748,0.001270054,0.0693972],"category_scores_gemma":[0.00494124,0.001341048,0.001251257,0.001541295,0.001115089,0.001423379,0.001952172,0.003277175,0.03903437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009800601,"about_ca_system_score_gemma":0.003058938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008263204,"about_ca_topic_score_gemma":0.00766479,"domain_scores_codex":[0.9988396,0.0001594584,0.0001359701,0.0002528369,0.0004344333,0.0001776887],"domain_scores_gemma":[0.9981824,0.0007405728,0.0001361289,0.0001927913,0.0005975683,0.0001504804],"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":[0.001465739,0.0004373782,0.002294039,0.003231318,0.0004564515,0.0008151357,0.0005430774,0.07188471,0.01984323,0.02720348,0.4957691,0.3760564],"study_design_scores_gemma":[0.001253931,0.0002408046,0.002171559,0.0004610453,0.0001639653,0.0005498359,0.0001015882,0.4941903,0.04071245,0.02465733,0.4351754,0.0003217791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003328953,0.0003959626,0.6375442,0.0002378929,0.0003141171,0.0008370486,0.01275007,0.3314583,0.01313347],"genre_scores_gemma":[0.03626339,0.0008122344,0.8456759,0.0008425006,0.0001451945,0.004391792,0.0258204,0.06572972,0.02031882],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0693972,"threshold_uncertainty_score":0.2321568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844578640208478,"score_gpt":0.2873026796442078,"score_spread":0.268856893242123,"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."}}