{"id":"W4399663132","doi":"10.1117/12.3020094","title":"GIRMOS image slicer: test plan and characterization","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Characterization (materials science); Computer science; Test plan; Test (biology); Plan (archaeology); Image (mathematics); Artificial intelligence; Computer vision; Materials science; Geology; Mathematics; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002149939,0.0000469615,0.00003223745,0.00002879224,0.00002474194,0.0001275748,0.00002987747,0.00002173383,0.00005310051],"category_scores_gemma":[0.000002309404,0.00004223747,0.00000677057,0.00008055982,0.00001038855,0.0001302761,0.000009763592,0.00004624548,0.00004086576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007017187,"about_ca_system_score_gemma":0.000002976376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001639169,"about_ca_topic_score_gemma":3.6667e-7,"domain_scores_codex":[0.9997908,7.685159e-7,0.0000540783,0.00007017771,0.00002426593,0.00005989625],"domain_scores_gemma":[0.999903,0.00001225049,0.000002588933,0.00005648428,0.000007320715,0.00001835786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.094726e-7,0.000006592757,0.00006905762,0.0001874117,0.000004566109,0.000002564339,0.0001008317,0.000001252289,0.9017957,0.003114813,0.004473005,0.09024393],"study_design_scores_gemma":[0.00006662759,0.00001811316,0.002934223,0.0001015553,0.00001929667,0.00004211866,0.00001852782,0.5295725,0.1884538,0.00167567,0.276788,0.0003096952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03368446,0.0003775935,0.91715,0.0009952318,0.00008336823,0.0001994382,0.00004666491,0.005510675,0.04195258],"genre_scores_gemma":[0.9826753,0.000166339,0.0158468,0.00006051127,0.0000723903,0.00004800372,0.0000498478,0.00002466401,0.001056126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9489909,"threshold_uncertainty_score":0.1722394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006626180836249729,"score_gpt":0.2206731676147529,"score_spread":0.2140469867785031,"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."}}