{"id":"W7063175586","doi":"","title":"�젣以묒썝�뿉�꽌 �롮빟臾쇳븰 �긽沅�(臾닿린吏�)�륁쓽 踰덉뿭怨� 洹� �쓽誘�","year":2014,"lang":"en","type":"article","venue":"YUHSpace (Yonsei University Medical Library)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materia medica; State (computer science); Chose; Human being","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001145076,0.0005731447,0.0003667086,0.0009950489,0.0006634532,0.002211933,0.0004737859,0.0008402922,0.1145553],"category_scores_gemma":[0.002761367,0.0002273592,0.0004402431,0.001066049,0.001074602,0.002635851,0.001057772,0.002845573,0.07624702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234405,"about_ca_system_score_gemma":0.001545106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503994,"about_ca_topic_score_gemma":0.003158762,"domain_scores_codex":[0.9995062,0.0001261992,0.00005485142,0.00008788551,0.000173101,0.00005168573],"domain_scores_gemma":[0.9985989,0.0002946498,0.0001514909,0.0001265186,0.0006158637,0.0002126197],"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":[0.00005471089,0.00004056222,0.0003941487,0.0004918982,0.00001055774,0.0001666327,0.0003864169,0.00008221965,0.00221066,0.01181572,0.6745542,0.3097923],"study_design_scores_gemma":[0.000003878374,0.0000361425,0.0004749458,0.00009030634,0.000002757033,0.0003158844,0.0001458824,0.00004145652,0.0004049104,0.00121818,0.9972579,0.000007643998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006233817,0.1772381,0.02676318,0.1286421,0.1920486,0.0003373812,0.001056702,0.002733619,0.4649465],"genre_scores_gemma":[0.0310469,0.07924095,0.02191317,0.03300944,0.01796789,0.0001709361,0.0009329629,0.0007486108,0.8149692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8854447,"threshold_uncertainty_score":0.3832256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004537268281346255,"score_gpt":0.1731722483045071,"score_spread":0.1686349800231609,"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."}}