{"id":"W2092525481","doi":"10.1117/12.857225","title":"Exoplanet imaging with LOCI processing: photometry and astrometry with the new SOSIE pipeline","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Astrometry; Exoplanet; Photometry (optics); Physics; Planet; Subtraction; Stars; Astronomy; Computer science; Astrophysics; Artificial intelligence; Mathematics","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":[0.001607089,0.0009747698,0.0006539371,0.002184013,0.0004940597,0.002252185,0.001791197,0.0006690357,0.01580673],"category_scores_gemma":[0.002412119,0.0007570436,0.001249292,0.001500934,0.0004707661,0.00266629,0.003835324,0.001737763,0.01462724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914056,"about_ca_system_score_gemma":0.0008441479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248454,"about_ca_topic_score_gemma":0.003851782,"domain_scores_codex":[0.9987841,0.00006888084,0.00009640764,0.0003080552,0.0006195529,0.0001228865],"domain_scores_gemma":[0.9985546,0.00009740861,0.00015033,0.000619612,0.0004861985,0.00009184807],"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":[0.0008702191,0.0003276116,0.02973077,0.0004854159,0.0004769853,0.0004671616,0.001110154,0.01156533,0.1345894,0.007157258,0.1097013,0.7035183],"study_design_scores_gemma":[0.0002323289,0.0002133505,0.06548867,0.0001205175,0.000182669,0.001038347,0.00053453,0.1646816,0.2092206,0.01050949,0.5474308,0.0003471158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03163421,0.0003880669,0.8053643,0.0003829553,0.0001714902,0.0002878365,0.0137754,0.1328409,0.01515483],"genre_scores_gemma":[0.1009077,0.0002436179,0.8136106,0.0004250235,0.0001466692,0.0003308876,0.05516963,0.01473581,0.01443007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01580673,"threshold_uncertainty_score":0.0528788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005823502949295726,"score_gpt":0.2069931409389524,"score_spread":0.2011696379896567,"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."}}