{"id":"W2073115367","doi":"10.1364/fio.2006.fmf3","title":"Wavefront sensor-less adaptive optics - Image correction through sharpness maximisation","year":2006,"lang":"en","type":"article","venue":"Frontiers in Optics","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Wavefront; Adaptive optics; Wavefront sensor; Optics; Metric (unit); Deformable mirror; Computer science; Image (mathematics); Image processing; Performance metric; Physics; Computer vision; Artificial intelligence","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":[0.0006213866,0.001010268,0.0007439108,0.0006527011,0.000445918,0.001676929,0.001703482,0.0008760715,0.00503421],"category_scores_gemma":[0.00166146,0.0004325591,0.0006789458,0.0008563701,0.0007444276,0.00141878,0.001606841,0.001224816,0.002115991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007614354,"about_ca_system_score_gemma":0.0006609027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005883951,"about_ca_topic_score_gemma":0.001025226,"domain_scores_codex":[0.9993284,0.00007495323,0.00002837457,0.0001113713,0.0004075618,0.00004942515],"domain_scores_gemma":[0.9993157,0.0001798267,0.0001030237,0.0001966603,0.0001753184,0.00002940536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004219454,0.0000815992,0.0006311131,0.0004206735,0.0001112936,0.0001438264,0.0001512737,0.04067072,0.4295669,0.05627052,0.002848273,0.4686819],"study_design_scores_gemma":[0.00004456935,0.0002725793,0.001123204,0.00005285014,0.0000693652,0.0008941081,0.00004549836,0.5474696,0.4066807,0.022136,0.02108988,0.0001215859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003183297,0.0001078715,0.9944367,0.00005172054,0.00003846866,0.00003488983,0.00002547172,0.0006553933,0.00146609],"genre_scores_gemma":[0.1109721,0.0002643032,0.8816423,0.0001061876,0.00003701849,0.00007434658,0.0001197398,0.0002517517,0.006532287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00503421,"threshold_uncertainty_score":0.01684111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407002174014198,"score_gpt":0.2275443278042029,"score_spread":0.213474306064061,"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."}}