{"id":"W4297514000","doi":"10.1088/1538-3873/ac8a77","title":"ATOCA: an Algorithm to Treat Order Contamination. Application to the NIRISS SOSS Mode","year":2022,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; McGill University; Bishop's University; University of Victoria; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Exoplanet; Spectrograph; Spectral resolution; Physics; Pixel; Detector; SIGNAL (programming language); Optics; Remote sensing; Computer science; Algorithm; Astrophysics; Spectral line; Planet; Astronomy; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003048036,0.0001395414,0.0001887119,0.00002339391,0.0008474442,0.00003625303,0.001108793,0.00002237125,0.0001065076],"category_scores_gemma":[0.0000165194,0.00008728654,0.0002529035,0.0005117078,0.0001413727,0.00007659457,0.0004787025,0.0001886682,0.00001339834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009023547,"about_ca_system_score_gemma":0.00007739657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005157316,"about_ca_topic_score_gemma":0.00001107571,"domain_scores_codex":[0.998835,0.0001244445,0.0002980974,0.0002638419,0.0002599845,0.0002186089],"domain_scores_gemma":[0.998414,0.0001562966,0.0002275014,0.0009786197,0.0001515537,0.00007204482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000151843,0.0003715638,0.8992989,0.000005155446,0.0001847398,5.0369e-10,0.003554866,0.02899711,0.0001489124,0.003777657,0.04197314,0.02167278],"study_design_scores_gemma":[0.0003572558,0.00005851496,0.926231,0.000003899421,0.0001142814,3.931208e-7,0.007720818,0.02061883,0.0007093871,0.000897242,0.04310985,0.0001785065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325006,0.00008484258,0.1540643,0.1027487,0.0004571434,0.003137075,0.0009125313,0.00005476496,0.00604011],"genre_scores_gemma":[0.9939204,6.992944e-7,0.003953546,0.00009461353,0.0001443854,0.0004873486,0.00008343398,0.00001398422,0.001301625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2614198,"threshold_uncertainty_score":0.6517941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009184630981951533,"score_gpt":0.2336665649044807,"score_spread":0.2244819339225292,"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."}}