{"id":"W2122273312","doi":"10.1051/0004-6361/201525879","title":"Detection limits with spectral differential imaging data","year":2015,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Speckle pattern; Exoplanet; Context (archaeology); Adaptive optics; Speckle noise; Optics; Physics; Chromatic scale; Differential (mechanical device); Noise (video); Planet; Direct imaging; Computer science; Artificial intelligence; Image (mathematics); Astronomy; Geology","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":[0.002838533,0.0006378872,0.000433214,0.00213781,0.0007751779,0.002476883,0.001333839,0.001667572,0.004109539],"category_scores_gemma":[0.01222508,0.0003411592,0.0002718227,0.001225482,0.001837705,0.002334518,0.003294651,0.001234001,0.001090619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009374262,"about_ca_system_score_gemma":0.000376298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003828268,"about_ca_topic_score_gemma":0.0003195581,"domain_scores_codex":[0.9976379,0.0005421143,0.0001177443,0.0006527769,0.000886248,0.0001632957],"domain_scores_gemma":[0.9848193,0.009547243,0.0008932756,0.001523121,0.00282851,0.000388526],"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":[0.001370106,0.0002067579,0.06750352,0.002252373,0.0002014918,0.0008612904,0.0008524219,0.02858001,0.3252219,0.2291238,0.008395129,0.3354312],"study_design_scores_gemma":[0.000107363,0.0005938277,0.02626723,0.0007379075,0.0003287846,0.007848963,0.0006326594,0.208237,0.3970541,0.27858,0.07936224,0.0002498948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2662655,0.01449637,0.6315061,0.004282371,0.0004730156,0.0001686372,0.002344935,0.002002383,0.07846054],"genre_scores_gemma":[0.8779202,0.002872591,0.1145972,0.0006666736,0.0002855484,0.0001289318,0.001330673,0.0001024852,0.002095729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004109539,"threshold_uncertainty_score":0.01501179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784633006077821,"score_gpt":0.2148415731770075,"score_spread":0.1969952431162293,"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."}}