{"id":"W7092651167","doi":"10.5281/zenodo.17400566","title":"Jammy2211/PyAutoLens: PyAutoLensJAX GPU","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crosslight Software (Canada)","funders":"","keywords":"Lens (geology); Interferometry; Scale (ratio); Core (optical fiber); Point (geometry); Central processing unit; Galaxy","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":[0.0007021484,0.001947867,0.001007279,0.0007573713,0.0006962221,0.002683417,0.003965064,0.001274232,0.2543869],"category_scores_gemma":[0.003043846,0.001339067,0.00149212,0.0009111915,0.0004819822,0.00285313,0.002947037,0.002847599,0.1458854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313344,"about_ca_system_score_gemma":0.001073361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360096,"about_ca_topic_score_gemma":0.003903054,"domain_scores_codex":[0.9994537,0.00005722763,0.0000388057,0.000114051,0.0001967612,0.0001394591],"domain_scores_gemma":[0.9993555,0.0001311467,0.00002923169,0.0001671559,0.0001998058,0.0001171777],"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":[0.0006598184,0.00008101324,0.001077546,0.0004450437,0.00007891973,0.0001427974,0.0002797249,0.002438256,0.004848972,0.008914423,0.9175156,0.06351794],"study_design_scores_gemma":[0.0004396251,0.00007524808,0.001507335,0.0001577031,0.00004591623,0.000221629,0.00007915717,0.03168146,0.0170971,0.010889,0.9376869,0.0001189614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006691871,0.0009290415,0.09039026,0.0008169025,0.0008232146,0.0002256329,0.02450976,0.7843018,0.0913115],"genre_scores_gemma":[0.09394199,0.001353302,0.1218521,0.002634996,0.0002987704,0.001409388,0.1022245,0.5593277,0.1169574],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2543869,"threshold_uncertainty_score":0.8510089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293197761000287,"score_gpt":0.2751418749141804,"score_spread":0.2422098973041775,"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."}}