{"id":"W6912525635","doi":"10.5281/zenodo.3509681","title":"OpenPIV/openpiv-python: added synthetic image generator","year":2019,"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 Toronto","funders":"","keywords":"Generator (circuit theory); Image (mathematics); Image processing; Synthetic data; Image synthesis; Image manipulation","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":[0.001227275,0.002023709,0.0008475634,0.001035155,0.0004142827,0.00130424,0.003526506,0.001424337,0.08795243],"category_scores_gemma":[0.00488332,0.001070472,0.001164933,0.0006195437,0.0006582036,0.001574057,0.001989026,0.001924359,0.0477068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353575,"about_ca_system_score_gemma":0.0006655203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002463602,"about_ca_topic_score_gemma":0.002200393,"domain_scores_codex":[0.9992371,0.0001287294,0.00004425924,0.0001596427,0.0003117133,0.0001185788],"domain_scores_gemma":[0.9984382,0.0003954209,0.00005927086,0.000491664,0.0004419656,0.0001735339],"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":[0.00101665,0.0004011424,0.001342946,0.0009528136,0.0002118675,0.0005403003,0.0002016815,0.02923226,0.02264332,0.01327476,0.8248728,0.1053096],"study_design_scores_gemma":[0.0008801938,0.0002061879,0.002040212,0.0001946767,0.0000835683,0.0007235066,0.00006676951,0.3449307,0.1265792,0.0248997,0.4990782,0.0003171152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00718751,0.0001054426,0.2771898,0.0004798661,0.0005548047,0.0004336866,0.02821333,0.6619295,0.02390608],"genre_scores_gemma":[0.1084018,0.0002056587,0.3270024,0.000941464,0.0001554708,0.001505972,0.1300447,0.383985,0.04775756],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08795243,"threshold_uncertainty_score":0.2942302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849741992748809,"score_gpt":0.24930814055078,"score_spread":0.2208107206232919,"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."}}